diff --git a/README.rst b/README.rst index e1bd3e0..fa6b412 100644 --- a/README.rst +++ b/README.rst @@ -13,7 +13,6 @@ :target: https://pepy.tech/project/sccellfie - Metabolic activity from single-cell and spatial transcriptomics with scCellFie ----------------------------------------------------------------------------------------- @@ -54,6 +53,53 @@ Features - **Organisms:** Metabolic database and analysis available for human and mouse. +Quick start +----------- +A quick example of how to use scCellFie with a single-cell dataset and generate results:: + + import sccellfie + import scanpy as sc + + # Load the dataset + adata = sc.read(filename='BALF-COVID19.h5ad', + backup_url='https://zenodo.org/record/7535867/files/BALF-COVID19-Liao_et_al-NatMed-2020.h5ad') + + # Run one-command scCellFie pipeline + results = sccellfie.run_sccellfie_pipeline(adata, + organism='human', + sccellfie_data_folder=None, + n_counts_col='n_counts', + process_by_group=False, + groupby=None, + neighbors_key='neighbors', + n_neighbors=10, + batch_key='sample', + threshold_key='sccellfie_threshold', + smooth_cells=True, + alpha=0.33, + chunk_size=5000, + disable_pbar=False, + save_folder=None, + save_filename=None + ) + +To access metabolic activities, we need to inspect `results['adata']`: + +- The processed single-cell data is located in the AnnData object `results['adata']`. +- The reaction activities for each cell are located in the AnnData object `results['adata'].reactions`. +- The metabolic task activities for each cell are located in the AnnData object `results['adata'].metabolic_tasks`. + +In particular: + +- `results['adata']`: contains gene expression in `.X`. +- `results['adata'].layers['gene_scores']`: contains gene scores as in the original CellFie paper. +- `results['adata'].uns['Rxn-Max-Genes']`: contains determinant genes for each reaction per cell. +- `results['adata'].reactions`: contains reaction scores in `.X` so every scanpy function can be used on this object to visualize or compare values. +- `results['adata'].metabolic_tasks`: contains metabolic task scores in `.X` so every scanpy function can be used on this object to visualize or compare values. + +Other keys in the `results` dictionary are associated with the scCellFie database and are already filtered for the elements present +in the dataset (`'gpr_rules'`, `'task_by_gene'`, `'rxn_by_gene'`, `'task_by_rxn'`, `'rxn_info'`, `'task_info'`, `'thresholds'`, `'organism'`). + How to cite ----------- diff --git a/sccellfie/__init__.py b/sccellfie/__init__.py index 599ab8f..87419af 100644 --- a/sccellfie/__init__.py +++ b/sccellfie/__init__.py @@ -9,5 +9,6 @@ from . import spatial from . import stats as tl from .expression import aggregation, smoothing, thresholds +from .sccellfie_pipeline import run_sccellfie_pipeline -__version__ = "0.2.3" \ No newline at end of file +__version__ = "0.3.0" \ No newline at end of file diff --git a/sccellfie/datasets/__init__.py b/sccellfie/datasets/__init__.py index 4034a16..fc6e753 100644 --- a/sccellfie/datasets/__init__.py +++ b/sccellfie/datasets/__init__.py @@ -1 +1,2 @@ -from .gene_info import (retrieve_ensembl2symbol_data) \ No newline at end of file +from .gene_info import (retrieve_ensembl2symbol_data) +from .database import (load_sccellfie_database) \ No newline at end of file diff --git a/sccellfie/datasets/database.py b/sccellfie/datasets/database.py new file mode 100644 index 0000000..4fbadb1 --- /dev/null +++ b/sccellfie/datasets/database.py @@ -0,0 +1,118 @@ +import pandas as pd +import os + + +def load_sccellfie_database(organism='human', task_folder=None, rxn_info_filename=None, task_info_filename=None, + task_by_rxn_filename=None, task_by_gene_filename=None, rxn_by_gene_filename=None, + thresholds_filename=None): + """ + Loads files of the metabolic task database from either a local folder, individual file paths, or predefined URLs. + + Parameters + ---------- + organism : str, optional (default: 'human') + The organism to retrieve data for. Choose 'human' or 'mouse'. Used when loading from URLs. + + task_folder : str, optional (default: None) + The local folder path containing CellFie data files. If provided, this takes priority. + + rxn_info_filename : str, optional (default: None) + Full path for reaction information JSON file. + + task_info_filename : str, optional (default: None) + Full path for task information CSV file. + + task_by_rxn_filename : str, optional (default: None) + Full path for task by reaction CSV file. + + task_by_gene_filename : str, optional (default: None) + Full path for task by gene CSV file. + + rxn_by_gene_filename : str, optional (default: None) + Full path for reaction by gene CSV file. + + thresholds_filename : str, optional (default: None) + Full path for thresholds CSV file. + + Returns + ------- + data : dict + A dictionary containing the loaded data frames and information. + Keys are 'rxn_info', 'task_info', 'task_by_rxn', 'task_by_gene', 'rxn_by_gene', + 'thresholds', and 'organism'. + Examples of dataframes can be found at https://github.com/earmingol/scCellFie/raw/refs/heads/main/task_data/homo_sapiens/ + """ + # Define default URLs for human and mouse data + default_urls = { + 'human': 'https://github.com/earmingol/scCellFie/raw/refs/heads/main/task_data/homo_sapiens/', + 'mouse': 'https://github.com/earmingol/scCellFie/raw/refs/heads/main/task_data/mus_musculus/' + } + + # Define default file names + default_file_names = { + 'human': { + 'rxn_info': 'Rxn-Info-Recon2-2.json', + 'task_info': 'Task-Info.csv', + 'task_by_rxn': 'Task_by_Rxn.csv', + 'task_by_gene': 'Task_by_Gene.csv', + 'rxn_by_gene': 'Rxn_by_Gene.csv', + 'thresholds': 'Thresholds.csv' + }, + 'mouse': { + 'rxn_info': 'Rxn-Info-iMM1415.json', + 'task_info': 'Task-Info.csv', + 'task_by_rxn': 'Task_by_Rxn.csv', + 'task_by_gene': 'Task_by_Gene.csv', + 'rxn_by_gene': 'Rxn_by_Gene.csv', + 'thresholds': 'Thresholds.csv' + } + } + + # Determine the base path and file names + if task_folder: + base_path = task_folder + file_paths = { + 'rxn_info': os.path.join(base_path, default_file_names[organism]['rxn_info']), + 'task_info': os.path.join(base_path, default_file_names[organism]['task_info']), + 'task_by_rxn': os.path.join(base_path, default_file_names[organism]['task_by_rxn']), + 'task_by_gene': os.path.join(base_path, default_file_names[organism]['task_by_gene']), + 'rxn_by_gene': os.path.join(base_path, default_file_names[organism]['rxn_by_gene']), + 'thresholds': os.path.join(base_path, default_file_names[organism]['thresholds']) + } + else: + base_path = default_urls.get(organism.lower()) + if not base_path: + raise ValueError("Invalid organism. Choose 'human' or 'mouse', or provide a custom folder path.") + file_paths = { + 'rxn_info': rxn_info_filename or f"{base_path}/{default_file_names[organism]['rxn_info']}", + 'task_info': task_info_filename or f"{base_path}/{default_file_names[organism]['task_info']}", + 'task_by_rxn': task_by_rxn_filename or f"{base_path}/{default_file_names[organism]['task_by_rxn']}", + 'task_by_gene': task_by_gene_filename or f"{base_path}/{default_file_names[organism]['task_by_gene']}", + 'rxn_by_gene': rxn_by_gene_filename or f"{base_path}/{default_file_names[organism]['rxn_by_gene']}", + 'thresholds': thresholds_filename or f"{base_path}/{default_file_names[organism]['thresholds']}" + } + + # Function to load a file + def load_file(file_key, index_col=None): + full_path = file_paths[file_key] + try: + if full_path.endswith('.json'): + return pd.read_json(full_path) + elif full_path.endswith('.csv'): + return pd.read_csv(full_path, index_col=index_col) + else: + raise ValueError(f"Unsupported file format: {full_path}") + except Exception as e: + print(f"Error loading {full_path}: {str(e)}") + return None + + # Load all files + data = {} + data['rxn_info'] = load_file('rxn_info') + data['task_info'] = load_file('task_info') + data['task_by_rxn'] = load_file('task_by_rxn', index_col='Task') + data['task_by_gene'] = load_file('task_by_gene', index_col='Task') + data['rxn_by_gene'] = load_file('rxn_by_gene', index_col='Reaction') + data['thresholds'] = load_file('thresholds', index_col='symbol') + data['organism'] = organism + return data \ No newline at end of file diff --git a/sccellfie/datasets/gene_info.py b/sccellfie/datasets/gene_info.py index 1740acd..5d1c465 100644 --- a/sccellfie/datasets/gene_info.py +++ b/sccellfie/datasets/gene_info.py @@ -7,7 +7,7 @@ def retrieve_ensembl2symbol_data(filename=None, organism='human'): Parameters ---------- - filename : str, optional + filename : str, optional (default: None) The file path to a custom CSV file containing Ensembl IDs and gene symbols. organism : str, optional (default: 'human') diff --git a/sccellfie/datasets/tests/test_database.py b/sccellfie/datasets/tests/test_database.py new file mode 100644 index 0000000..cfff517 --- /dev/null +++ b/sccellfie/datasets/tests/test_database.py @@ -0,0 +1,116 @@ +import pytest +import os +import tempfile +import pandas as pd + +from unittest.mock import patch + +from sccellfie.datasets.database import load_sccellfie_database # Replace 'your_module' with the actual module name + +# Mock data for testing +mock_json_data = pd.DataFrame({'col1': [1, 2, 3], 'col2': ['a', 'b', 'c']}) +mock_csv_data = pd.DataFrame({'col1': [4, 5, 6], 'col2': ['d', 'e', 'f']}) + + +@pytest.fixture +def mock_read_json(monkeypatch): + def mock_read(path): + return mock_json_data + + monkeypatch.setattr(pd, 'read_json', mock_read) + + +@pytest.fixture +def mock_read_csv(monkeypatch): + def mock_read(path, index_col=None): + return mock_csv_data + + monkeypatch.setattr(pd, 'read_csv', mock_read) + + +def test_load_sccellfie_database_default_urls(mock_read_json, mock_read_csv): + data = load_sccellfie_database(organism='human') + assert isinstance(data, dict) + assert 'rxn_info' in data + assert 'task_info' in data + assert 'task_by_rxn' in data + assert 'task_by_gene' in data + assert 'rxn_by_gene' in data + assert 'thresholds' in data + assert data['organism'] == 'human' + assert data['rxn_info'].equals(mock_json_data) + assert data['task_info'].equals(mock_csv_data) + + +def test_load_sccellfie_database_local_folder(): + with tempfile.TemporaryDirectory() as tmpdirname: + # Create mock files + pd.DataFrame().to_json(os.path.join(tmpdirname, 'Rxn-Info-Recon2-2.json')) + pd.DataFrame().to_csv(os.path.join(tmpdirname, 'Task-Info.csv')) + pd.DataFrame().to_csv(os.path.join(tmpdirname, 'Task_by_Rxn.csv')) + pd.DataFrame().to_csv(os.path.join(tmpdirname, 'Task_by_Gene.csv')) + pd.DataFrame().to_csv(os.path.join(tmpdirname, 'Rxn_by_Gene.csv')) + pd.DataFrame().to_csv(os.path.join(tmpdirname, 'Thresholds.csv')) + + data = load_sccellfie_database(organism='human', task_folder=tmpdirname) + assert isinstance(data, dict) + assert 'rxn_info' in data + assert 'task_info' in data + assert 'task_by_rxn' in data + assert 'task_by_gene' in data + assert 'rxn_by_gene' in data + assert 'thresholds' in data + assert data['organism'] == 'human' + + +def test_load_sccellfie_database_individual_files(): + with tempfile.TemporaryDirectory() as tmpdirname: + # Create mock files with unique names + rxn_info_path = os.path.join(tmpdirname, 'custom_rxn_info.json') + task_info_path = os.path.join(tmpdirname, 'custom_task_info.csv') + task_by_rxn_path = os.path.join(tmpdirname, 'custom_task_by_rxn.csv') + task_by_gene_path = os.path.join(tmpdirname, 'custom_task_by_gene.csv') + rxn_by_gene_path = os.path.join(tmpdirname, 'custom_rxn_by_gene.csv') + thresholds_path = os.path.join(tmpdirname, 'custom_thresholds.csv') + + pd.DataFrame().to_json(rxn_info_path) + pd.DataFrame().to_csv(task_info_path) + pd.DataFrame().to_csv(task_by_rxn_path) + pd.DataFrame().to_csv(task_by_gene_path) + pd.DataFrame().to_csv(rxn_by_gene_path) + pd.DataFrame().to_csv(thresholds_path) + + data = load_sccellfie_database( + organism='human', + rxn_info_filename=rxn_info_path, + task_info_filename=task_info_path, + task_by_rxn_filename=task_by_rxn_path, + task_by_gene_filename=task_by_gene_path, + rxn_by_gene_filename=rxn_by_gene_path, + thresholds_filename=thresholds_path + ) + assert isinstance(data, dict) + assert 'rxn_info' in data + assert 'task_info' in data + assert 'task_by_rxn' in data + assert 'task_by_gene' in data + assert 'rxn_by_gene' in data + assert 'thresholds' in data + assert data['organism'] == 'human' + + +def test_load_sccellfie_database_invalid_organism(): + with pytest.raises(ValueError): + load_sccellfie_database(organism='invalid') + + +@patch('pandas.read_json') +@patch('pandas.read_csv') +def test_load_sccellfie_database_file_error(mock_read_csv, mock_read_json): + mock_read_json.side_effect = Exception("Mock JSON read error") + mock_read_csv.side_effect = Exception("Mock CSV read error") + + data = load_sccellfie_database(organism='human') + assert isinstance(data, dict) + assert all(value is None for key, value in data.items() if key != 'organism') + assert data['organism'] == 'human' \ No newline at end of file diff --git a/sccellfie/tests/toy_inputs.py b/sccellfie/datasets/toy_inputs.py similarity index 100% rename from sccellfie/tests/toy_inputs.py rename to sccellfie/datasets/toy_inputs.py diff --git a/sccellfie/expression/smoothing.py b/sccellfie/expression/smoothing.py index fa3d3ca..b338c49 100644 --- a/sccellfie/expression/smoothing.py +++ b/sccellfie/expression/smoothing.py @@ -6,7 +6,7 @@ def get_smoothing_matrix(adata, mode, neighbors_key='neighbors'): """ - Calculate the smoothing matrix S based on the nearest neighbor graph in adata.obsp. + Calculates the smoothing matrix S based on the nearest neighbor graph in adata.obsp. Parameters ---------- @@ -58,7 +58,7 @@ def get_smoothing_matrix(adata, mode, neighbors_key='neighbors'): def smooth_expression_knn(adata, key_added='smoothed_X', neighbors_key='neighbors', mode='connectivity', alpha=0.33, n_chunks=None, chunk_size=None, use_raw=False, disable_pbar=False): """ - Smooth expression values based on KNNs of single cells using Scanpy. + Smooths expression values based on KNNs of single cells using Scanpy. Parameters ---------- @@ -134,7 +134,7 @@ def smooth_expression_knn(adata, key_added='smoothed_X', neighbors_key='neighbor smoothed_matrix = np.zeros(X.shape) # Iterate over chunks of cells - for i in tqdm(range(n_chunks), disable=disable_pbar): + for i in tqdm(range(n_chunks), disable=disable_pbar, desc='Smoothing Expression'): start_idx = i * chunk_size end_idx = min((i + 1) * chunk_size, n_cells) diff --git a/sccellfie/expression/tests/test_aggregation.py b/sccellfie/expression/tests/test_aggregation.py index 49514ee..44f380d 100644 --- a/sccellfie/expression/tests/test_aggregation.py +++ b/sccellfie/expression/tests/test_aggregation.py @@ -4,7 +4,7 @@ import scipy.sparse as sparse from sccellfie.expression.aggregation import agg_expression_cells, top_mean -from sccellfie.tests.toy_inputs import create_random_adata, create_controlled_adata +from sccellfie.datasets.toy_inputs import create_random_adata, create_controlled_adata @pytest.mark.parametrize("use_raw", [False, True]) diff --git a/sccellfie/expression/tests/test_smoothing.py b/sccellfie/expression/tests/test_smoothing.py index edea429..d69d110 100644 --- a/sccellfie/expression/tests/test_smoothing.py +++ b/sccellfie/expression/tests/test_smoothing.py @@ -3,7 +3,7 @@ from scipy.sparse import csr_matrix from sccellfie.expression.smoothing import get_smoothing_matrix, smooth_expression_knn -from sccellfie.tests.toy_inputs import create_controlled_adata +from sccellfie.datasets.toy_inputs import create_controlled_adata def test_get_smoothing_matrix(): # Create a controlled adata object with known connectivities diff --git a/sccellfie/expression/tests/test_threshold.py b/sccellfie/expression/tests/test_threshold.py index 34aab22..203c8a0 100644 --- a/sccellfie/expression/tests/test_threshold.py +++ b/sccellfie/expression/tests/test_threshold.py @@ -3,7 +3,7 @@ from pandas.testing import assert_frame_equal from sccellfie.expression.thresholds import get_local_mean_threshold, get_global_mean_threshold, get_local_percentile_threshold, get_global_percentile_threshold, get_local_trimean_threshold, get_global_trimean_threshold, set_manual_threshold -from sccellfie.tests.toy_inputs import create_controlled_adata +from sccellfie.datasets.toy_inputs import create_controlled_adata @pytest.mark.parametrize("use_raw, lower_bound, upper_bound, exclude_zeros", diff --git a/sccellfie/expression/thresholds.py b/sccellfie/expression/thresholds.py index 9d94987..f238c3c 100644 --- a/sccellfie/expression/thresholds.py +++ b/sccellfie/expression/thresholds.py @@ -3,7 +3,7 @@ def get_local_percentile_threshold(adata, percentile=0.75, lower_bound=1e-5, upper_bound=None, exclude_zeros=False, use_raw=False): - ''' + """ Obtains the local percentile threshold for each gene in a AnnData object. Parameters @@ -32,7 +32,7 @@ def get_local_percentile_threshold(adata, percentile=0.75, lower_bound=1e-5, upp ------- thresholds: pandas.DataFrame A pandas.DataFrame object with the local percentile threshold for each gene. - ''' + """ if use_raw: X = adata.raw.X.toarray() else: @@ -65,7 +65,7 @@ def get_local_percentile_threshold(adata, percentile=0.75, lower_bound=1e-5, upp def get_global_percentile_threshold(adata, percentile=0.75, lower_bound=1e-5, upper_bound=None, exclude_zeros=False, use_raw=False): - ''' + """ Obtains the global percentile threshold for each gene in a AnnData object. Parameters @@ -94,7 +94,7 @@ def get_global_percentile_threshold(adata, percentile=0.75, lower_bound=1e-5, up ------- thresholds: pandas.DataFrame A pandas.DataFrame object with the global percentile threshold for each gene. - ''' + """ if use_raw: X = adata.raw.X.toarray() else: @@ -128,7 +128,7 @@ def get_global_percentile_threshold(adata, percentile=0.75, lower_bound=1e-5, up def get_local_mean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude_zeros=False, use_raw=False): - ''' + """ Obtains the local mean threshold for each gene in a AnnData object. Parameters @@ -154,7 +154,7 @@ def get_local_mean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude_ ------- thresholds: pandas.DataFrame A pandas.DataFrame object with the local mean threshold for each gene. - ''' + """ if use_raw: X = adata.raw.X.toarray() else: @@ -184,7 +184,7 @@ def get_local_mean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude_ def get_global_mean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude_zeros=False, use_raw=False): - ''' + """ Obtains the global mean threshold for each gene in a AnnData object. Parameters @@ -208,7 +208,7 @@ def get_global_mean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude ------- thresholds: pandas.DataFrame A pandas.DataFrame object with the global mean threshold for each gene. - ''' + """ if use_raw: X = adata.raw.X.toarray() else: @@ -238,7 +238,7 @@ def get_global_mean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude def get_local_trimean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude_zeros=False, use_raw=False): - ''' + """ Obtains the local Tukey's trimean threshold for each gene in a AnnData object. Parameters @@ -264,7 +264,7 @@ def get_local_trimean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclu ------- thresholds: pandas.DataFrame A pandas.DataFrame object with the local Tukey's trimean threshold for each gene. - ''' + """ if use_raw: X = adata.raw.X.toarray() else: @@ -299,7 +299,7 @@ def get_local_trimean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclu def get_global_trimean_threshold(adata, lower_bound=1e-5, upper_bound=None, exclude_zeros=False, use_raw=False): - ''' + """ Obtains the global Tukey's trimean threshold for each gene in a AnnData object. Parameters @@ -325,7 +325,7 @@ def get_global_trimean_threshold(adata, lower_bound=1e-5, upper_bound=None, excl ------- thresholds: pandas.DataFrame A pandas.DataFrame object with the global Tukey's trimean threshold for each gene. - ''' + """ if use_raw: X = adata.raw.X.toarray() else: @@ -360,8 +360,8 @@ def get_global_trimean_threshold(adata, lower_bound=1e-5, upper_bound=None, excl def set_manual_threshold(adata, threshold): - ''' - Set a threshold manually for each gene in a AnnData object. + """ + Sets a threshold manually for each gene in a AnnData object. Parameters ---------- @@ -377,7 +377,7 @@ def set_manual_threshold(adata, threshold): ------- thresholds: pandas.DataFrame A pandas.DataFrame object with the manual threshold for each gene. - ''' + """ if isinstance(threshold, list): assert len(adata.var_names) == len(threshold), "The len of threshold must be the same as gene number in adata" thresholds = pd.DataFrame(data={'threshold-manual': threshold}, index=adata.var_names, dtype=float) diff --git a/sccellfie/external/tests/test_tf_idf.py b/sccellfie/external/tests/test_tf_idf.py index 3b15944..23a92da 100644 --- a/sccellfie/external/tests/test_tf_idf.py +++ b/sccellfie/external/tests/test_tf_idf.py @@ -1,7 +1,7 @@ import pandas as pd from sccellfie.external.tf_idf import quick_markers -from sccellfie.tests.toy_inputs import create_random_adata +from sccellfie.datasets.toy_inputs import create_random_adata def test_output_structure(): diff --git a/sccellfie/gene_score.py b/sccellfie/gene_score.py index 1f4a938..8edd2a2 100644 --- a/sccellfie/gene_score.py +++ b/sccellfie/gene_score.py @@ -7,7 +7,7 @@ def gene_score(gene_expression, gene_threshold): - ''' + """ Computes the gene score for a given gene expression and threshold. Parameters @@ -26,12 +26,12 @@ def gene_score(gene_expression, gene_threshold): Notes ----- This score is computed as previously indicated in the CellFie paper (https://doi.org/10.1016/j.cels.2019.05.012). - ''' + """ return 5*np.log(1 + gene_expression/(gene_threshold + PCOUNT)) # Added small value to threshold to avoid division by zero def compute_gene_scores(adata, thresholds, use_raw=False, layer='gene_scores'): - ''' + """ Computes the gene scores from CellFie for each gene in an AnnData object given specific threshold values. @@ -57,7 +57,7 @@ def compute_gene_scores(adata, thresholds, use_raw=False, layer='gene_scores'): Notes ----- This score is computed as previously indicated in the CellFie paper (https://doi.org/10.1016/j.crmeth.2021.100040). - ''' + """ genes = [g for g in thresholds.index if g in adata.var_names] if use_raw: X = adata[:, genes].raw.X @@ -74,7 +74,7 @@ def compute_gene_scores(adata, thresholds, use_raw=False, layer='gene_scores'): def compute_gpr_gene_score(gpr, gene_scores): - ''' + """ Recursive parsing of gprs into lists of complexes and their scores. Parameters @@ -99,7 +99,7 @@ def compute_gpr_gene_score(gpr, gene_scores): Notes ----- This score is computed as previously indicated in the CellFie paper (https://doi.org/10.1016/j.crmeth.2021.100040). - ''' + """ if isinstance(gpr, cobra.core.gene.GPR): return compute_gpr_gene_score(gpr.body, gene_scores) elif isinstance(gpr, ast.Name): diff --git a/sccellfie/io/load_data.py b/sccellfie/io/load_data.py index 5bc5171..90cc134 100644 --- a/sccellfie/io/load_data.py +++ b/sccellfie/io/load_data.py @@ -7,7 +7,7 @@ def load_adata(folder, filename, reactions_filename=None, metabolic_tasks_filename=None, spatial_network_key='spatial_network', verbose=True): - ''' + """ Loads an AnnData object and its scCellFie attributes from a folder. Parameters @@ -39,7 +39,7 @@ def load_adata(folder, filename, reactions_filename=None, metabolic_tasks_filena Annotated data matrix. If scCellFie attributes are found, they are also loaded into adata.reactions and adata.metabolic_tasks. - ''' + """ if reactions_filename is not None: rxn_filename = f'{folder}/{reactions_filename}.h5ad' else: diff --git a/sccellfie/io/save_data.py b/sccellfie/io/save_data.py index c4f4dcf..8662ff7 100644 --- a/sccellfie/io/save_data.py +++ b/sccellfie/io/save_data.py @@ -4,7 +4,7 @@ def save_adata(adata, folder, filename, spatial_network_key='spatial_network', verbose=True): - ''' + """ Saves an AnnData object and its scCellFie attributes to a folder. Parameters @@ -31,7 +31,7 @@ def save_adata(adata, folder, filename, spatial_network_key='spatial_network', v The scCellFie attributes are saved to: - reactions: folder/filename_reactions.h5ad. - metabolic_tasks: folder/filename_metabolic_tasks.h5ad. - ''' + """ # Check folder path Path(folder).mkdir(parents=True, exist_ok=True) if spatial_network_key in adata.uns.keys(): diff --git a/sccellfie/io/tests/test_load_data.py b/sccellfie/io/tests/test_load_data.py index a034913..6409c87 100644 --- a/sccellfie/io/tests/test_load_data.py +++ b/sccellfie/io/tests/test_load_data.py @@ -10,7 +10,7 @@ from sccellfie.metabolic_task import compute_mt_score from sccellfie.reaction_activity import compute_reaction_activity from sccellfie.spatial import create_knn_network -from sccellfie.tests.toy_inputs import create_random_adata, create_controlled_adata_with_spatial, create_controlled_gpr_dict, create_global_threshold, create_controlled_task_by_rxn +from sccellfie.datasets.toy_inputs import create_random_adata, create_controlled_adata_with_spatial, create_controlled_gpr_dict, create_global_threshold, create_controlled_task_by_rxn @pytest.mark.parametrize("reactions_filename, mt_filename", [ diff --git a/sccellfie/io/tests/test_save_data.py b/sccellfie/io/tests/test_save_data.py index 900aef4..0130b6a 100644 --- a/sccellfie/io/tests/test_save_data.py +++ b/sccellfie/io/tests/test_save_data.py @@ -4,7 +4,7 @@ from sccellfie.io.save_data import save_adata from sccellfie.spatial import create_knn_network -from sccellfie.tests.toy_inputs import create_random_adata, create_random_adata_with_spatial +from sccellfie.datasets.toy_inputs import create_random_adata, create_random_adata_with_spatial @pytest.mark.parametrize("spatial_data, test_attr", [(True, False), (False, False), (False, True)]) # Test with and without spatial data diff --git a/sccellfie/metabolic_task.py b/sccellfie/metabolic_task.py index d960d52..b16d096 100644 --- a/sccellfie/metabolic_task.py +++ b/sccellfie/metabolic_task.py @@ -1,8 +1,9 @@ import numpy as np import scanpy as sc + def compute_mt_score(adata, task_by_rxn, verbose=True): - ''' + """ Computes the metabolic task score for each cell in an AnnData object given specific reaction activity levels. @@ -33,7 +34,7 @@ def compute_mt_score(adata, task_by_rxn, verbose=True): sccellfie.reaction_activity.compute_reaction_activity() and are stored in adata.reactions.X. This score is computed as previously indicated in the CellFie paper (https://doi.org/10.1016/j.crmeth.2021.100040). - ''' + """ assert hasattr(adata, 'reactions'), "You must run sccellfie.reaction_activity.compute_reaction_activity() first." # RAL matrix diff --git a/sccellfie/plotting/distributions.py b/sccellfie/plotting/distributions.py index e1d8cdb..d4796d0 100644 --- a/sccellfie/plotting/distributions.py +++ b/sccellfie/plotting/distributions.py @@ -2,9 +2,9 @@ import matplotlib.pyplot as plt -def create_multi_violin_plots(adata, genes, groupby, n_cols=4, figsize=(4, 3), ylabel='Metabolic Activity', fontsize=10, save=None, dpi=300, **kwargs): +def create_multi_violin_plots(adata, genes, groupby, n_cols=4, figsize=(5, 5), ylabel='Metabolic Activity', fontsize=10, rotation=90, save=None, dpi=300, **kwargs): """ - Plot a grid of violin plots for multiple genes in Scanpy, + Plots a grid of violin plots for multiple genes in Scanpy, controlling the number of columns. Parameters: @@ -19,25 +19,28 @@ def create_multi_violin_plots(adata, genes, groupby, n_cols=4, figsize=(4, 3), y Key in `adata.obs` containing the groups to plot. For each unique value in this column, a violin plot will be generated. - n_cols : int, optional (default=4) + n_cols : int, optional (default: 4) Number of columns in the grid. - figsize : tuple of float, optional (default=(4, 3)) + figsize : tuple of float, optional (default: (5, 5)) Size of each subplot in inches. - ylabel : str, optional (default='Metabolic Activity') + ylabel : str, optional (default: 'Metabolic Activity') Label for the y-axis. - fontsize : int, optional (default=10) + fontsize : int, optional (default: 10) Font size for the title and axis labels. The tick labels will be set to `fontsize`, while the title will be set to `fontsize + 4`. Ylabel will be set to `fontsize + 2`. - save : str, optional (default=None) + rotation : int, optional (default: 90) + Rotation of the x-axis tick labels + + save : str, optional (default: None) Filepath to save the figure. If not provided, the figure will be displayed. - dpi : int, optional (default=300) + dpi : int, optional (default: 300) Resolution of the saved figure. **kwargs : dict @@ -56,7 +59,7 @@ def create_multi_violin_plots(adata, genes, groupby, n_cols=4, figsize=(4, 3), y col = i % n_cols ax = axes[row, col] - sc.pl.violin(adata, keys=gene, groupby=groupby, ax=ax, show=False, **kwargs) + sc.pl.violin(adata, keys=gene, groupby=groupby, ax=ax, show=False, rotation=rotation, **kwargs) ax.set_title(gene, fontsize=fontsize + 4) ax.set_ylabel(ylabel, fontsize=fontsize + 2) ax.tick_params(axis='x', labelsize=fontsize) diff --git a/sccellfie/plotting/tests/test_differential_results.py b/sccellfie/plotting/tests/test_differential_results.py index 1784d85..bf9d7c5 100644 --- a/sccellfie/plotting/tests/test_differential_results.py +++ b/sccellfie/plotting/tests/test_differential_results.py @@ -5,7 +5,7 @@ from matplotlib.axes import Axes from sccellfie.plotting.differential_results import create_volcano_plot, create_comparative_violin -from sccellfie.tests.toy_inputs import create_controlled_adata +from sccellfie.datasets.toy_inputs import create_controlled_adata def test_create_volcano_plot(): # Create a sample DataFrame similar to the output of scanpy_differential_analysis diff --git a/sccellfie/plotting/tests/test_distributions.py b/sccellfie/plotting/tests/test_distributions.py index 827a06f..fed2970 100644 --- a/sccellfie/plotting/tests/test_distributions.py +++ b/sccellfie/plotting/tests/test_distributions.py @@ -3,7 +3,7 @@ import matplotlib.pyplot as plt from sccellfie.plotting.distributions import create_multi_violin_plots -from sccellfie.tests.toy_inputs import create_controlled_adata +from sccellfie.datasets.toy_inputs import create_controlled_adata @pytest.fixture diff --git a/sccellfie/preprocessing/__init__.py b/sccellfie/preprocessing/__init__.py index 8c23513..6c9f8a2 100644 --- a/sccellfie/preprocessing/__init__.py +++ b/sccellfie/preprocessing/__init__.py @@ -1,3 +1,3 @@ -from .database_manipulation import get_element_associations, add_new_task, combine_and_sort_dataframes +from .database_manipulation import get_element_associations, add_new_task, combine_and_sort_dataframes, handle_duplicate_indexes from .gpr_rules import clean_gene_names, find_genes_gpr, replace_gene_ids_in_gpr, convert_gpr_nomenclature from .prepare_inputs import preprocess_inputs, stratified_subsample_adata, normalize_adata, transform_adata_gene_names \ No newline at end of file diff --git a/sccellfie/preprocessing/database_manipulation.py b/sccellfie/preprocessing/database_manipulation.py index 912c155..739749a 100644 --- a/sccellfie/preprocessing/database_manipulation.py +++ b/sccellfie/preprocessing/database_manipulation.py @@ -4,8 +4,9 @@ def get_element_associations(df, element, axis_element=0): - '''Get the tasks, reactions, or genes associated with - a given element in the DataFrame. + """ + Gets the tasks, reactions, or genes associated with + a given element in the DataFrame. Parameters ---------- @@ -24,7 +25,7 @@ def get_element_associations(df, element, axis_element=0): associations : list of str List of tasks, reactions, or genes associated with the given element. - ''' + """ if axis_element == 0: e = df.loc[element, :] elif axis_element == 1: @@ -40,7 +41,7 @@ def get_element_associations(df, element, axis_element=0): def add_new_task(task_by_rxn, task_by_gene, rxn_by_gene, task_info, rxn_info, task_name, task_system, task_subsystem, rxn_names, gpr_hgncs, gpr_symbols): """ - Add a new task and their associated reactions and genes to the database. + Adds a new task and their associated reactions and genes to the database. Parameters ---------- @@ -145,7 +146,7 @@ def add_new_task(task_by_rxn, task_by_gene, rxn_by_gene, task_info, rxn_info, def combine_and_sort_dataframes(df1, df2, preference='max'): """ - Combine two DataFrames and sort the rows and columns alphabetically. + Combines two DataFrames and sort the rows and columns alphabetically. Parameters ---------- @@ -192,4 +193,50 @@ def combine_and_sort_dataframes(df1, df2, preference='max'): # Sort the rows and columns alphabetically combined_df = combined_df.sort_index().sort_index(axis=1).fillna(0) - return combined_df \ No newline at end of file + return combined_df + + +def handle_duplicate_indexes(df, value_column=None, operation='first'): + """ + Handles duplicated indexes in a DataFrame by keeping the min, max, mean, first, or last value + associated with them in a specified column. + + Parameters + ---------- + df : pandas.DataFrame + DataFrame with duplicated indexes. + + value_column : str, optional (default: None) + Name of the column containing values to make a decision + when handling duplicated indexes. This value is optional + only when operation is 'first' or 'last'. + + operation : str, optional (default: 'first') + Operation to perform when handling duplicated indexes. + Options: 'min', 'max', 'mean', 'first', 'last'. + + Returns + ------- + df_result : pandas.DataFrame + DataFrame with duplicated indexes handled according to the specified operation + """ + if df.empty: + return df.copy() + + if operation not in ['min', 'max', 'mean', 'first', 'last']: + raise ValueError("Operation must be 'min', 'max', 'mean', or 'first'") + + if operation in ['first', 'last']: + return df[~df.index.duplicated(keep=operation)] + + # Group by index and apply the specified operation + assert value_column is not None, "A value column must be provided for operations other than 'first' or 'last'" + if operation == 'mean': + df_grouped = df.groupby(level=0).agg({value_column: 'mean'}) + else: # min or max + df_grouped = df.groupby(level=0).agg({value_column: operation}) + + # Merge the result back with the original DataFrame to keep other columns + df_result = df.loc[~df.index.duplicated(keep='first')].copy() + df_result[value_column] = df_grouped[value_column] + return df_result \ No newline at end of file diff --git a/sccellfie/preprocessing/gpr_rules.py b/sccellfie/preprocessing/gpr_rules.py index 2f41f5f..a7e5c45 100644 --- a/sccellfie/preprocessing/gpr_rules.py +++ b/sccellfie/preprocessing/gpr_rules.py @@ -4,7 +4,7 @@ def clean_gene_names(gpr_rule): """ - Remove spaces between parentheses and gene IDs in a GPR rule. + Removes spaces between parentheses and gene IDs in a GPR rule. Parameters ---------- @@ -23,7 +23,7 @@ def clean_gene_names(gpr_rule): def find_genes_gpr(gpr_rule): """ - Find all gene IDs in a GPR rule. + Finds all gene IDs in a GPR rule. Parameters ---------- @@ -42,7 +42,7 @@ def find_genes_gpr(gpr_rule): def replace_gene_ids_in_gpr(gpr_rule, gene_id_mapping): """ - Replace gene IDs in a GPR rule with new IDs (different nomenclature). + Replaces gene IDs in a GPR rule with new IDs (different nomenclature). Parameters ---------- @@ -68,7 +68,7 @@ def replace_gene_ids_in_gpr(gpr_rule, gene_id_mapping): def convert_gpr_nomenclature(gpr_rules, id_mapping): """ - Convert gene IDs in multiple GPR rules to a different nomenclature. + Converts gene IDs in multiple GPR rules to a different nomenclature. Parameters ---------- diff --git a/sccellfie/preprocessing/prepare_inputs.py b/sccellfie/preprocessing/prepare_inputs.py index d969377..445841f 100644 --- a/sccellfie/preprocessing/prepare_inputs.py +++ b/sccellfie/preprocessing/prepare_inputs.py @@ -2,7 +2,6 @@ import warnings import numpy as np import pandas as pd -import scanpy as sc from scipy import sparse @@ -32,25 +31,25 @@ def preprocess_inputs(adata, gpr_info, task_by_gene, rxn_by_gene, task_by_rxn, c task_by_rxn : pandas.DataFrame DataFrame representing the relationship between tasks and reactions. - correction_organism : str, optional (default='human') + correction_organism : str, optional (default: 'human') Organism of the input data. This is important to correct gene names that are present in scCellFie's or custom database. Check options in `sccellfie.preprocessing.prepare_inputs.CORRECT_GENES.keys()` - gene_fraction_threshold : float, optional (default=0.0) + gene_fraction_threshold : float, optional (default: 0.0) The minimum fraction of genes in a reaction's GPR that must be present in adata to keep the reaction. Range is 0 to 1. 1.0 means all genes must be present. Any value > 0 and < 1 keeps reactions with at least that fraction of genes present. 0 means keep reactions with at least one gene present. - reaction_fraction_threshold : float, optional (default=0.0) + reaction_fraction_threshold : float, optional (default: 0.0) The minimum fraction of reactions in a task that must be present after gene filtering to keep the task. Range is 0 to 1. 1.0 means all reactions must be present. Any value > 0 and < 1 keeps tasks with at least that fraction of reactions present. 0 means keep tasks with at least one reaction present. - verbose : bool, optional (default=True) + verbose : bool, optional (default: True) If True, prints information about the preprocessing results. Returns: @@ -189,10 +188,10 @@ def stratified_subsample_adata(adata, group_column, target_fraction=0.20, random group_column : str Column name in adata.obs containing the group information. - target_fraction : float, optional (default=0.20) + target_fraction : float, optional (default: 0.20) Fraction of cells to sample from each group. - random_state : int, optional (default=0) + random_state : int, optional (default: 0) Random seed for reproducibility. Returns @@ -240,13 +239,13 @@ def normalize_adata(adata, target_sum=10_000, n_counts_key='n_counts', copy=Fals adata : AnnData Annotated data matrix containing the expression data. - target_sum : int, optional (default=10_000) + target_sum : int, optional (default: 10_000) The target sum to which the data will be normalized. - n_counts_key : str, optional (default='n_counts') + n_counts_key : str, optional (default: 'n_counts') The key in adata.obs containing the total counts for each cell. - copy : bool, optional (default=False) + copy : bool, optional (default: False) If True, returns a copy of adata with the normalized data. """ if copy: @@ -255,8 +254,9 @@ def normalize_adata(adata, target_sum=10_000, n_counts_key='n_counts', copy=Fals # Check if total counts are already calculated if n_counts_key not in adata.obs.columns: warnings.warn(f"{n_counts_key} not found in adata.obs. Calculating total counts.", UserWarning) - sc.pp.calculate_qc_metrics(adata, layer=None, inplace=True) n_counts_key = 'total_counts' # scanpy uses 'total_counts' as the key + # Calculate total counts from the raw expression matrix + adata.obs[n_counts_key] = adata.X.sum(axis=1) # Input data X_view = adata.X @@ -303,13 +303,13 @@ def transform_adata_gene_names(adata, filename=None, organism='human', copy=True The file path to a custom CSV file containing Ensembl IDs and gene symbols. One column must be 'ensembl_id' and the other 'symbol'. - organism : str, optional (default='human') + organism : str, optional (default: 'human') The organism to retrieve data for. Choose 'human' or 'mouse'. - copy : bool, optional (default=True) + copy : bool, optional (default: True) If True, return a copy of the AnnData object. If False, modify the object in place. - drop_unmapped : bool, optional (default=False) + drop_unmapped : bool, optional (default: False) If True, drop genes that could not be mapped to symbols. Returns diff --git a/sccellfie/preprocessing/tests/test_database_manipulation.py b/sccellfie/preprocessing/tests/test_database_manipulation.py index b94cb45..3b86dc8 100644 --- a/sccellfie/preprocessing/tests/test_database_manipulation.py +++ b/sccellfie/preprocessing/tests/test_database_manipulation.py @@ -1,7 +1,7 @@ import pytest import pandas as pd -from sccellfie.preprocessing.database_manipulation import get_element_associations, add_new_task, combine_and_sort_dataframes +from sccellfie.preprocessing.database_manipulation import get_element_associations, add_new_task, combine_and_sort_dataframes, handle_duplicate_indexes def test_get_element_associations(): @@ -99,4 +99,82 @@ def test_combine_and_sort_dataframes(): # Test with invalid preference with pytest.raises(ValueError): - combine_and_sort_dataframes(df1, df2, preference='invalid') \ No newline at end of file + combine_and_sort_dataframes(df1, df2, preference='invalid') + + +@pytest.fixture +def sample_df(): + data = { + 'A': [1, 2, 3, 4, 5, 6], + 'B': [10, 20, 30, 40, 50, 60], + 'C': ['a', 'b', 'c', 'd', 'e', 'f'] + } + index = ['x', 'y', 'x', 'z', 'y', 'w'] + return pd.DataFrame(data, index=index) + +def test_min_operation(sample_df): + result = handle_duplicate_indexes(sample_df, 'A', 'min') + assert result.index.tolist() == ['x', 'y', 'z', 'w'] + assert result['A'].tolist() == [1, 2, 4, 6] + assert result['B'].tolist() == [10, 20, 40, 60] + assert result['C'].tolist() == ['a', 'b', 'd', 'f'] + +def test_max_operation(sample_df): + result = handle_duplicate_indexes(sample_df, 'A', 'max') + assert result.index.tolist() == ['x', 'y', 'z', 'w'] + assert result['A'].tolist() == [3, 5, 4, 6] + assert result['B'].tolist() == [10, 20, 40, 60] + assert result['C'].tolist() == ['a', 'b', 'd', 'f'] + +def test_mean_operation(sample_df): + result = handle_duplicate_indexes(sample_df, 'A', 'mean') + assert result.index.tolist() == ['x', 'y', 'z', 'w'] + assert result['A'].tolist() == [2, 3.5, 4, 6] + assert result['B'].tolist() == [10, 20, 40, 60] + assert result['C'].tolist() == ['a', 'b', 'd', 'f'] + +def test_first_operation(sample_df): + result = handle_duplicate_indexes(sample_df, 'A', 'first') + assert result.index.tolist() == ['x', 'y', 'z', 'w'] + assert result['A'].tolist() == [1, 2, 4, 6] + assert result['B'].tolist() == [10, 20, 40, 60] + assert result['C'].tolist() == ['a', 'b', 'd', 'f'] + +def test_last_operation(sample_df): + result = handle_duplicate_indexes(sample_df, 'A', 'last') + assert result.index.tolist() == ['x', 'z', 'y', 'w'] + assert result['A'].tolist() == [3, 4, 5, 6] + assert result['B'].tolist() == [30, 40, 50, 60] + assert result['C'].tolist() == ['c', 'd', 'e', 'f'] + +def test_invalid_operation(sample_df): + with pytest.raises(ValueError): + handle_duplicate_indexes(sample_df, 'A', 'invalid_operation') + +def test_non_existent_column(sample_df): + with pytest.raises(KeyError): + handle_duplicate_indexes(sample_df, 'D', 'min') + +def test_single_column_df(): + df = pd.DataFrame({'A': [1, 2, 3, 4]}, index=['x', 'y', 'x', 'z']) + result = handle_duplicate_indexes(df, 'A', 'max') + assert result.index.tolist() == ['x', 'y', 'z'] + assert result['A'].tolist() == [3, 2, 4] + +def test_all_duplicates_df(): + df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=['x', 'x', 'x']) + result = handle_duplicate_indexes(df, 'A', 'mean') + assert len(result) == 1 + assert result.index[0] == 'x' + assert result['A'].values[0] == 2 + assert result['B'].values[0] == 4 + +def test_no_duplicates_df(): + df = pd.DataFrame({'A': [1, 2, 3]}, index=['x', 'y', 'z']) + result = handle_duplicate_indexes(df, 'A', 'min') + pd.testing.assert_frame_equal(result, df) + +def test_empty_df(): + df = pd.DataFrame() + result = handle_duplicate_indexes(df, 'A', 'min') + assert result.empty \ No newline at end of file diff --git a/sccellfie/preprocessing/tests/test_prepare_inputs.py b/sccellfie/preprocessing/tests/test_prepare_inputs.py index ee37aa4..3a32918 100644 --- a/sccellfie/preprocessing/tests/test_prepare_inputs.py +++ b/sccellfie/preprocessing/tests/test_prepare_inputs.py @@ -7,7 +7,7 @@ from sccellfie.preprocessing.gpr_rules import clean_gene_names, find_genes_gpr from sccellfie.preprocessing.prepare_inputs import preprocess_inputs, stratified_subsample_adata, normalize_adata, transform_adata_gene_names -from sccellfie.tests.toy_inputs import create_random_adata, create_controlled_adata, create_controlled_gpr_dict, create_controlled_task_by_rxn, create_controlled_task_by_gene, create_controlled_rxn_by_gene +from sccellfie.datasets.toy_inputs import create_random_adata, create_controlled_adata, create_controlled_gpr_dict, create_controlled_task_by_rxn, create_controlled_task_by_gene, create_controlled_rxn_by_gene def test_preprocess_inputs(): diff --git a/sccellfie/reaction_activity.py b/sccellfie/reaction_activity.py index 0a0bfb1..a2a483c 100644 --- a/sccellfie/reaction_activity.py +++ b/sccellfie/reaction_activity.py @@ -1,4 +1,3 @@ -import cobra import scanpy as sc import numpy as np import pandas as pd @@ -10,7 +9,7 @@ def compute_reaction_activity(adata, gpr_dict, use_specificity=True, layer='gene_scores', disable_pbar=False): - ''' + """ Computes reaction activity from gene scores and GPRs. Parameters @@ -52,7 +51,7 @@ def compute_reaction_activity(adata, gpr_dict, use_specificity=True, layer='gene form of a string, e.g., '(gene1 and gene2) or gene3'. This score is computed as previously indicated in the CellFie paper (https://doi.org/10.1016/j.crmeth.2021.100040). - ''' + """ genes = adata.var_names gene_scores = adata.layers[layer] rxns = gpr_dict.keys() diff --git a/sccellfie/sccellfie_pipeline.py b/sccellfie/sccellfie_pipeline.py new file mode 100644 index 0000000..a677cc7 --- /dev/null +++ b/sccellfie/sccellfie_pipeline.py @@ -0,0 +1,411 @@ +import scanpy as sc +from tqdm import tqdm + +from sccellfie.datasets.database import load_sccellfie_database +from sccellfie.io.save_data import save_adata +from sccellfie.preprocessing.prepare_inputs import normalize_adata, preprocess_inputs, transform_adata_gene_names, CORRECT_GENES +from sccellfie.expression.smoothing import smooth_expression_knn +from sccellfie.gene_score import compute_gene_scores +from sccellfie.reaction_activity import compute_reaction_activity +from sccellfie.metabolic_task import compute_mt_score + + +def run_sccellfie_pipeline(adata, organism='human', sccellfie_data_folder=None, sccellfie_db=None, n_counts_col='n_counts', + process_by_group=False, groupby=None, neighbors_key='neighbors',n_neighbors=10, batch_key=None, + threshold_key='sccellfie_threshold', smooth_cells=True, alpha=0.33, chunk_size=5000, + disable_pbar=False, save_folder=None, save_filename=None, verbose=True): + """ + Runs the complete scCellFie pipeline on the given AnnData object, processing by cell type if specified. + + Parameters: + ----------- + adata : AnnData + Annotated data matrix containing the expression data and nearest neighbor graph. + The .X matrix must contain raw counts. If neighbors are not present, they will be computed. + + organism : str, optional (default: 'human') + Organism for the analysis. Options are 'human' or 'mouse'. + + sccellfie_data_folder : str, optional (default: None) + Path to the folder containing the files of the scCellFie database + (reactions, GPR rules, metabolic tasks, etc.). + + sccellfie_db : dict, optional (default: None) + Dictionary containing the scCellFie database information. + If this information is provided, the sccellfie_data_folder will be ignored. + This dictionary must contain the keys 'rxn_info', 'task_by_gene', 'rxn_by_gene', 'task_by_rxn', 'thresholds', and + 'organism'. + Examples of dataframes can be found at + https://github.com/earmingol/scCellFie/raw/refs/heads/main/task_data/homo_sapiens/ + + n_counts_col : str, optional (default: 'n_counts') + Column name in adata.obs containing the total counts per cell. + If None or not present, the total counts will be computed. + + process_by_group : bool, optional (default: False) + Whether to process data by groups (e.g., cell types). This is intended to be + memory efficient for huge datasets. Results will be not outputted and will be + saved to the disk instead. If True, `groupby` must be specified, as well as `save_folder`. + + groupby : str, optional (default: None) + Column name in adata.obs for the groups to process. Required if process_by_group is True. + + neighbors_key : str, optional (default: 'neighbors') + Key in adata.uns for neighbor data. If not present, neighbors will be computed. + + n_neighbors : int, optional (default: 10) + Number of neighbors to find (if `neighbors_key` is not present). This number of neighbors + will be used in the KNN smoothing too, if `smooth_cells` is True. + + batch_key : str, optional (default: None) + Column name in adata.obs for batch information. If present, Harmony will be used to + integrate the data before computing neighbors (when neighbors are not present in the AnnData object). + + threshold_key : str, optional (default: 'sccellfie_threshold') + Key for the threshold to use in gene score computation. + This key is present in the threshold file of the scCellFie (or custom) database. + + smooth_cells : bool, optional (default: True) + Whether to perform a smoothing for the expression values based on the nearest neighbors. + If True, KNN smoothing will be performed. + + alpha : float, optional (default: 0.33) + The weight or fraction of the smoothed expression to use in the final expression matrix. + The final expression matrix is computed as (1 - alpha) * X + alpha * (S @ X), where X is the + original expression matrix and S is the smoothed matrix. + + chunk_size : int, optional (default: 5000) + Size of chunks for smoothing the expression of large datasets. + This is used to split the data into smaller parts to reduce memory usage. + + disable_pbar : bool, optional (default: False) + Whether to disable the progress bar. + + save_folder : str, optional (default: None) + Folder to save results. The AnnData object is saved to folder/save_filename.h5ad. + The scCellFie attributes are saved to: + - reactions: folder/save_filename_reactions.h5ad. + - metabolic_tasks: folder/save_filename_metabolic_tasks.h5ad. + If process_by_group is True, file names will include cell type name as in + save_filename_celltype.h5ad. + + save_filename : str, optional (default: None) + Filename to save results. If None, the filename will be 'sccellfie'. + + verbose : bool, optional (default: True) + Whether to print messages during the processing. + + Returns: + -------- + preprocessed_db : dict + Complete preprocessed database including the processed AnnData object and scCellFie attributes/results, + normally stored as preprocessed_db['adata'], preprocessed_db['adata'].reactions, + and preprocessed_db['adata'].metabolic_tasks. THIS IS OUTPUT ONLY IF `process_by_group` is False. + """ + if verbose: + print("\n==== scCellFie Pipeline: Initializing ====") + print(f"Loading scCellFie database for organism: {organism}") + else: + disable_pbar = True + + # Load scCellFie database + if sccellfie_db is None: + sccellfie_db = load_sccellfie_database(organism=organism, task_folder=sccellfie_data_folder) + + # Check for ENSEMBL IDs and prepare transformation if necessary + ensembl_ids = all([g.startswith('ENS') for g in adata.var_names]) + + # Default filename + if save_filename is None: + save_filename = 'sccellfie' + + if process_by_group: + if groupby is None: + raise ValueError("groupby must be specified when process_by_group is True") + if save_folder is None: + raise ValueError("save_folder must be specified when process_by_group is True") + + if verbose: + print(f"\n==== scCellFie Pipeline: Processing by groups ====") + print(f"Using column: {groupby}") + + preprocessed_db = None + met_genes = None + first_group = True + + for celltype, df in tqdm(adata.obs.groupby(groupby), desc='Processing groups', disable=disable_pbar): + adata_tmp = adata[df.index, :].copy() + + if first_group: + preprocessed_db = process_chunk(adata=adata_tmp, + sccellfie_db=sccellfie_db, + n_counts_col=n_counts_col, + smooth_cells=smooth_cells, + alpha=alpha, + chunk_size=chunk_size, + threshold_key=threshold_key, + disable_pbar=True, + neighbors_key=neighbors_key, + n_neighbors=n_neighbors, + batch_key=batch_key, + ensembl_ids=ensembl_ids, + organism=organism, + verbose=False, + first_group=True) + met_genes = list(preprocessed_db['adata'].var_names) + first_group = False + else: + preprocessed_db = process_chunk(adata=adata_tmp, + sccellfie_db=sccellfie_db, + n_counts_col=n_counts_col, + smooth_cells=smooth_cells, + alpha=alpha, + chunk_size=chunk_size, + threshold_key=threshold_key, + disable_pbar=True, + neighbors_key=neighbors_key, + n_neighbors=n_neighbors, + batch_key=batch_key, + ensembl_ids=ensembl_ids, + organism=organism, + verbose=False, + first_group=False, + preprocessed_db=preprocessed_db, + met_genes=met_genes) + + # Save results if requested + if save_folder: + save_adata(adata=preprocessed_db['adata'], + folder=save_folder, + filename=save_filename + '_' + celltype.replace(' ', '_'), + verbose=False) + if verbose: + print("\n==== scCellFie Pipeline: Processing completed successfully ====") + else: + if verbose: + print("\n==== scCellFie Pipeline: Processing entire dataset ====") + preprocessed_db = process_chunk(adata=adata, + sccellfie_db=sccellfie_db, + n_counts_col=n_counts_col, + smooth_cells=smooth_cells, + alpha=alpha, + chunk_size=chunk_size, + threshold_key=threshold_key, + disable_pbar=disable_pbar, + neighbors_key=neighbors_key, + n_neighbors=n_neighbors, + batch_key=batch_key, + ensembl_ids=ensembl_ids, + organism=organism, + verbose=verbose, + first_group=True) + + # Save results if requested + if save_folder: + if verbose: + print("\n==== scCellFie Pipeline: Saving results ====") + save_adata(adata=preprocessed_db['adata'], + folder=save_folder, + filename=save_filename) + if verbose: + print("\n==== scCellFie Pipeline: Processing completed successfully ====") + return preprocessed_db + + +def process_chunk(adata, sccellfie_db, n_counts_col, smooth_cells, alpha, chunk_size, threshold_key, disable_pbar, + neighbors_key, n_neighbors, batch_key, ensembl_ids, organism, first_group=True, preprocessed_db=None, + met_genes=None, verbose=True, ): + """ + Processes a chunk of data (either a cell type or the entire dataset). + + Parameters + ---------- + adata : AnnData object + Annotated data matrix containing the expression data and nearest neighbor graph. + + sccellfie_db : dict + Dictionary containing the scCellFie database information. + Keys are 'rxn_info', 'task_by_gene', 'rxn_by_gene', 'task_by_rxn', and 'thresholds'. + + n_counts_col : str + Column name in adata.obs containing the total counts per cell. + + smooth_cells : bool + Whether to perform a smoothing for the expression values based on the nearest neighbors. + + alpha : float + Smoothing factor for KNN smoothing. + + chunk_size : int + Size of chunks for processing large datasets. + + threshold_key : str + Key for the threshold to use in gene score computation. + + disable_pbar : bool + Whether to disable the progress bar. + + neighbors_key : str + Key in adata.uns for neighbor data. + + n_neighbors : int + Number of neighbors to find (if `neighbors_key` is not present). + + batch_key : str or None + Column name in adata.obs for batch information. + This is used for Harmony integration if neighbors are not present. + + ensembl_ids : bool + + organism : str + Organism for the analysis. Options are 'human' or 'mouse'. + + first_group : bool, optional (default: True) + Whether this is the first group to process. + + preprocessed_db : dict, optional (default: None) + Dictionary containing the processed data from previous groups. + + met_genes : list, optional (default: None) + List of genes to filter for subsequent groups. + + verbose : bool, optional (default: True) + Whether to print messages during the processing. + + Returns + ------- + preprocessed_db : dict + Complete preprocessed database including the processed AnnData object and scCellFie attributes/results, + normally stored as preprocessed_db['adata'], preprocessed_db['adata'].reactions, + and preprocessed_db['adata'].metabolic_tasks. + """ + if verbose: + print("\n---- scCellFie Step: Preprocessing data ----") + + # Ensure adata is in memory + if adata.isbacked: + adata = adata.to_memory() + + # Preprocessing + adata.layers['counts'] = adata.X.copy() + normalize_adata(adata, n_counts_key=n_counts_col) + + # Transform gene names if necessary + if ensembl_ids: + transform_adata_gene_names(adata=adata, organism=organism, copy=False, drop_unmapped=True) + + # Check for presence of neighbors + if neighbors_key not in adata.uns.keys(): + if verbose: + print("\n---- scCellFie Step: Computing neighbors ----") + compute_neighbors(adata=adata, batch_key=batch_key, n_neighbors=n_neighbors, verbose=verbose) + + if first_group: + if verbose: + print("\n---- scCellFie Step: Preparing inputs ----") + # Prepare scCellFie inputs and filter reactions, tasks and genes + preprocessed_db = dict() + preprocessed_db['adata'], preprocessed_db['gpr_rules'], preprocessed_db['task_by_gene'], preprocessed_db[ + 'rxn_by_gene'], preprocessed_db['task_by_rxn'] = preprocess_inputs( + adata=adata, + gpr_info=sccellfie_db['rxn_info'], + task_by_gene=sccellfie_db['task_by_gene'], + rxn_by_gene=sccellfie_db['rxn_by_gene'], + task_by_rxn=sccellfie_db['task_by_rxn'], + correction_organism=organism, + verbose=verbose + ) + + for k, v in sccellfie_db.items(): + if k not in preprocessed_db.keys(): + preprocessed_db[k] = v + else: + correction_dict = CORRECT_GENES[organism] + correction_dict = {k: v for k, v in correction_dict.items() if v in met_genes} + adata.var.index = [correction_dict[g] if g in correction_dict.keys() else g for g in adata.var.index] + # Filter genes for subsequent groups + adata = adata[:, met_genes] + preprocessed_db['adata'] = adata + + # Smoothing of gene expression + if smooth_cells: + if verbose: + print("\n---- scCellFie Step: Smoothing gene expression ----") + smooth_expression_knn(adata=preprocessed_db['adata'], + alpha=alpha, + mode='adjacency', + neighbors_key=neighbors_key, + chunk_size=chunk_size if preprocessed_db['adata'].shape[0] > 30000 else None, + disable_pbar=disable_pbar) + preprocessed_db['adata'].X = preprocessed_db['adata'].layers['smoothed_X'] + + # Compute gene scores + if verbose: + print("\n---- scCellFie Step: Computing gene scores ----") + + compute_gene_scores(adata=preprocessed_db['adata'], + thresholds=preprocessed_db['thresholds'][[threshold_key]]) + + # Compute reaction activity + if verbose: + print("\n---- scCellFie Step: Computing reaction activity ----") + compute_reaction_activity(adata=preprocessed_db['adata'], + gpr_dict=preprocessed_db['gpr_rules'], + use_specificity=True, + disable_pbar=disable_pbar) + + # Compute metabolic task activity + if verbose: + print("\n---- scCellFie Step: Computing metabolic task activity ----") + compute_mt_score(adata=preprocessed_db['adata'], + task_by_rxn=preprocessed_db['task_by_rxn'], + verbose=verbose) + + return preprocessed_db + + +def compute_neighbors(adata, batch_key, n_neighbors=10, verbose=True): + """ + Computes neighbors for the AnnData object. In addition, + finds the UMAP embeddings from these neighbors if not present. + + Parameters + ---------- + adata : AnnData object + Annotated data matrix containing the expression data. + + batch_key : str or None + Column name in adata.obs for batch information. + This is used for Harmony integration if neighbors are not present. + + n_neighbors : int, optional (default: 10) + Number of neighbors to find. + + verbose : bool, optional (default: True) + Whether to print messages during the processing. + + Returns + ------- + None + The neighbors are stored in adata.uns['neighbors']. + UMAP embeddings are stored in adata.obsm['X_umap'] if not present. + """ + bdata = adata.copy() + if 'normalization' not in bdata.uns.keys(): + sc.pp.normalize_total(bdata, target_sum=1e4) + sc.pp.log1p(bdata) + sc.pp.highly_variable_genes(bdata, n_top_genes=2000, flavor='seurat_v3', batch_key=batch_key) + sc.tl.pca(bdata) + adata.obsm['X_pca'] = bdata.obsm['X_pca'] + if batch_key: + try: + sc.external.pp.harmony_integrate(bdata, batch_key, verbose) + rep = 'X_pca_harmony' + adata.obsm[rep] = bdata.obsm[rep] + except: + rep = 'X_pca' + else: + rep = 'X_pca' + sc.pp.neighbors(adata, use_rep=rep, n_neighbors=n_neighbors) + if 'X_umap' not in adata.obsm.keys(): + sc.tl.umap(adata) \ No newline at end of file diff --git a/sccellfie/spatial/assortativity.py b/sccellfie/spatial/assortativity.py index 8018d7f..75ec2bc 100644 --- a/sccellfie/spatial/assortativity.py +++ b/sccellfie/spatial/assortativity.py @@ -7,7 +7,7 @@ def compute_var_assortativity(adata, var_name, spatial_network_key='spatial_network', use_raw=False): - ''' + """ Computes the assortativity of a variable (e.g., a gene, a metabolic tasks, etc.) in a spatial network. Parameters @@ -28,7 +28,7 @@ def compute_var_assortativity(adata, var_name, spatial_network_key='spatial_netw ------- assortativity: float The assortativity of the variable in the spatial network. - ''' + """ if spatial_network_key not in adata.uns.keys(): raise ValueError(f'{spatial_network_key} not found in adata.uns. Run sccellfie.spatial.knn_network.create_knn_network() first.') H = adata.uns[spatial_network_key]['graph'].copy() @@ -56,7 +56,7 @@ def compute_var_assortativity(adata, var_name, spatial_network_key='spatial_netw def compute_assortativity(adata, spatial_network_key='spatial_network', use_raw=False): - ''' + """ Computes the assortativity of all variables (e.g., genes, metabolic tasks, etc.) in a spatial network. Parameters @@ -75,7 +75,7 @@ def compute_assortativity(adata, spatial_network_key='spatial_network', use_raw= None A pandas.DataFrame object containing the assortativity of each variable in the spatial network is added to adata.uns['spatial_network']['assortativity']. - ''' + """ records = [] for var_ in tqdm(adata.var_names): assort = compute_var_assortativity(adata, var_name=var_, spatial_network_key=spatial_network_key, use_raw=use_raw) diff --git a/sccellfie/spatial/hotspots.py b/sccellfie/spatial/hotspots.py index 997a9ee..5b1d929 100644 --- a/sccellfie/spatial/hotspots.py +++ b/sccellfie/spatial/hotspots.py @@ -11,8 +11,8 @@ def obtain_hotspots(adata, spatial_key='X_spatial', use_raw=False): - ''' - Obtain hotspots for each variable in adata.var_names. + """ + Obtains hotspots for each variable in adata.var_names. It uses the Getis-Ord Gi* statistic from PySAL. Parameters @@ -30,7 +30,7 @@ def obtain_hotspots(adata, spatial_key='X_spatial', use_raw=False): ------- hotspots: dict A dictionary with variable names as keys and Getis-Ord Gi* statistics as values. - ''' + """ assert spatial_key in adata.obsm.keys(), "obsm_key must be a key in adata.obsm." hotspots = dict() @@ -59,7 +59,7 @@ def obtain_hotspots(adata, spatial_key='X_spatial', use_raw=False): def calculate_aggregate_metric(z_scores, z_threshold=1.96): - ''' + """ Aggregates the Getis-Ord Gi* statistics for a variable. Parameters @@ -86,7 +86,7 @@ def calculate_aggregate_metric(z_scores, z_threshold=1.96): significant_proportion: float The proportion of significant pixels for the variable. - ''' + """ mean_z = np.mean(z_scores) median_z = np.median(z_scores) hotspot_proportion = np.sum(z_scores > z_threshold) / len(z_scores) @@ -96,7 +96,7 @@ def calculate_aggregate_metric(z_scores, z_threshold=1.96): def summarize_hotspots(hotspots, z_threshold=1.96): - ''' + """ Summarizes hotspots for each variable in adata.var_names. It computes the mean, median, and proportion of hotspots, coldspots, and significant pixels. @@ -122,7 +122,7 @@ def summarize_hotspots(hotspots, z_threshold=1.96): Hotspot-Proportion: The proportion of hotspots for the variable. Coldspot-Proportion: The proportion of coldspots for the variable. Significant-Proportion: The proportion of significant pixels for the variable. - ''' + """ records = [] for k, v in hotspots.items(): @@ -137,7 +137,7 @@ def summarize_hotspots(hotspots, z_threshold=1.96): def compute_hotspots(adata, spatial_key='X_spatial', use_raw=False, z_threshold=1.96): - ''' + """ Computes hotspots for each variable in adata.var_names. Hotspots are computed using the Getis-Ord Gi* statistic. @@ -163,7 +163,7 @@ def compute_hotspots(adata, spatial_key='X_spatial', use_raw=False, z_threshold= A pandas.DataFrame object containing the aggregate metrics for each variable in adata.var_names is added to adata.uns['hotspots']['hotspot_df']. - ''' + """ hotspots = obtain_hotspots(adata, spatial_key=spatial_key, use_raw=use_raw) hotspot_df = summarize_hotspots(hotspots, z_threshold=z_threshold) adata.uns['hotspots'] = {'hotspots': hotspots, 'hotspot_df': hotspot_df} \ No newline at end of file diff --git a/sccellfie/spatial/knn_network.py b/sccellfie/spatial/knn_network.py index c2ce504..f7062e2 100644 --- a/sccellfie/spatial/knn_network.py +++ b/sccellfie/spatial/knn_network.py @@ -5,9 +5,8 @@ import networkx as nx - def find_spatial_neighbors(adata, n_neighbors=10, spatial_key='X_spatial'): - ''' + """ Finds the spatial neighbors of each cell in adata. Parameters @@ -26,12 +25,12 @@ def find_spatial_neighbors(adata, n_neighbors=10, spatial_key='X_spatial'): None The spatial neighbors are added to adata.uns['spatial_neighbors'] and the spatial connectivities are added to adata.obsp['spatial_connectivities']. - ''' + """ sq.gr.spatial_neighbors(adata, spatial_key=spatial_key, n_neighs=n_neighbors, key_added='spatial') def create_knn_network(adata, n_neighbors=10, spatial_key='X_spatial', added_key='spatial_network'): - ''' + """ Creates a k-nearest neighbor network from the spatial coordinates in adata.obsm[obsm_key]. Parameters @@ -52,7 +51,7 @@ def create_knn_network(adata, n_neighbors=10, spatial_key='X_spatial', added_key ------- None The k-nearest neighbor network is added to adata.uns['spatial_network']. - ''' + """ if 'spatial_connectivities' not in adata.obsp.keys(): warnings.warn('spatial_connectivities not found in adata.uns. Creating spatial_neighbors.') sq.gr.spatial_neighbors(adata, spatial_key=spatial_key, n_neighs=n_neighbors, key_added='spatial') diff --git a/sccellfie/spatial/tests/test_assortativity.py b/sccellfie/spatial/tests/test_assortativity.py index d7df385..3b41c56 100644 --- a/sccellfie/spatial/tests/test_assortativity.py +++ b/sccellfie/spatial/tests/test_assortativity.py @@ -4,7 +4,7 @@ from sccellfie.spatial.assortativity import compute_var_assortativity, compute_assortativity from sccellfie.spatial.knn_network import create_knn_network -from sccellfie.tests.toy_inputs import create_random_adata_with_spatial +from sccellfie.datasets.toy_inputs import create_random_adata_with_spatial @pytest.mark.parametrize("use_raw", [False, True]) diff --git a/sccellfie/spatial/tests/test_hotspots.py b/sccellfie/spatial/tests/test_hotspots.py index beb74c5..10e169c 100644 --- a/sccellfie/spatial/tests/test_hotspots.py +++ b/sccellfie/spatial/tests/test_hotspots.py @@ -2,7 +2,7 @@ import pandas as pd from sccellfie.spatial.hotspots import obtain_hotspots, summarize_hotspots, compute_hotspots -from sccellfie.tests.toy_inputs import create_random_adata_with_spatial +from sccellfie.datasets.toy_inputs import create_random_adata_with_spatial @pytest.mark.parametrize("use_raw", [False, True]) def test_obtain_hotspots(use_raw): diff --git a/sccellfie/spatial/tests/test_knn_network.py b/sccellfie/spatial/tests/test_knn_network.py index 3c3cd79..8f5eced 100644 --- a/sccellfie/spatial/tests/test_knn_network.py +++ b/sccellfie/spatial/tests/test_knn_network.py @@ -1,6 +1,5 @@ -import networkx as nx from sccellfie.spatial.knn_network import find_spatial_neighbors, create_knn_network -from sccellfie.tests.toy_inputs import create_controlled_adata_with_spatial +from sccellfie.datasets.toy_inputs import create_controlled_adata_with_spatial def test_find_spatial_neighbors(): # Create mock data with spatial coordinates diff --git a/sccellfie/stats/markers_from_task.py b/sccellfie/stats/markers_from_task.py index cc02bed..48fe705 100644 --- a/sccellfie/stats/markers_from_task.py +++ b/sccellfie/stats/markers_from_task.py @@ -3,7 +3,7 @@ def get_task_determinant_genes(adata, metabolic_task, task_by_rxn, groupby=None, group=None, min_activity=0.0): - ''' + """ Finds the genes that determine the activity of all reactions in a metabolic task. Returns determinant genes for each reaction and their activity across specified cell groups. If no groups are specified, the analysis is performed across all cells. @@ -53,7 +53,7 @@ def get_task_determinant_genes(adata, metabolic_task, task_by_rxn, groupby=None, sccellfie.reaction_activity.compute_reaction_activity() and are stored in adata.reactions.X. Scores are computed as previously indicated in the CellFie paper (https://doi.org/10.1016/j.crmeth.2021.100040). - ''' + """ assert hasattr(adata, "metabolic_tasks"), "Please run scCellFie on your dataset before using this function." # Get list of rxns that belong to the metabolic task diff --git a/sccellfie/stats/tests/test_differential_analysis.py b/sccellfie/stats/tests/test_differential_analysis.py index 1b712a6..bd8a3f0 100644 --- a/sccellfie/stats/tests/test_differential_analysis.py +++ b/sccellfie/stats/tests/test_differential_analysis.py @@ -7,7 +7,7 @@ from sccellfie.plotting.differential_results import create_volcano_plot from sccellfie.stats.differential_analysis import cohens_d, scanpy_differential_analysis -from sccellfie.tests.toy_inputs import create_random_adata +from sccellfie.datasets.toy_inputs import create_random_adata def test_cohens_d(): diff --git a/sccellfie/stats/tests/test_markers_from_task.py b/sccellfie/stats/tests/test_markers_from_task.py index 0ae96c9..99e228c 100644 --- a/sccellfie/stats/tests/test_markers_from_task.py +++ b/sccellfie/stats/tests/test_markers_from_task.py @@ -6,7 +6,7 @@ from sccellfie.gene_score import compute_gene_scores from sccellfie.reaction_activity import compute_reaction_activity from sccellfie.metabolic_task import compute_mt_score -from sccellfie.tests.toy_inputs import create_controlled_adata, create_controlled_task_by_rxn, create_controlled_gpr_dict, create_global_threshold +from sccellfie.datasets.toy_inputs import create_controlled_adata, create_controlled_task_by_rxn, create_controlled_gpr_dict, create_global_threshold @pytest.mark.parametrize("groupby, group, min_activity", diff --git a/sccellfie/tests/test_gene_score.py b/sccellfie/tests/test_gene_score.py index 010ece3..be373e2 100644 --- a/sccellfie/tests/test_gene_score.py +++ b/sccellfie/tests/test_gene_score.py @@ -8,7 +8,7 @@ from sccellfie.gene_score import gene_score, compute_gene_scores, compute_gpr_gene_score from sccellfie.tests import PCOUNT -from sccellfie.tests.toy_inputs import create_controlled_adata +from sccellfie.datasets.toy_inputs import create_controlled_adata def test_gene_score(): diff --git a/sccellfie/tests/test_metabolic_task.py b/sccellfie/tests/test_metabolic_task.py index d88a406..f56ef28 100644 --- a/sccellfie/tests/test_metabolic_task.py +++ b/sccellfie/tests/test_metabolic_task.py @@ -5,7 +5,7 @@ from sccellfie.reaction_activity import compute_reaction_activity from sccellfie.metabolic_task import compute_mt_score from sccellfie.tests import PCOUNT -from sccellfie.tests.toy_inputs import create_controlled_adata, create_controlled_gpr_dict, create_global_threshold, create_controlled_task_by_rxn +from sccellfie.datasets.toy_inputs import create_controlled_adata, create_controlled_gpr_dict, create_global_threshold, create_controlled_task_by_rxn @pytest.mark.parametrize("use_specificity", [True, False]) diff --git a/sccellfie/tests/test_reaction_activity.py b/sccellfie/tests/test_reaction_activity.py index 9d82db2..1fbfe1d 100644 --- a/sccellfie/tests/test_reaction_activity.py +++ b/sccellfie/tests/test_reaction_activity.py @@ -5,7 +5,7 @@ from sccellfie.gene_score import compute_gene_scores from sccellfie.reaction_activity import compute_reaction_activity from sccellfie.tests import PCOUNT -from sccellfie.tests.toy_inputs import create_controlled_adata, create_controlled_gpr_dict, create_global_threshold +from sccellfie.datasets.toy_inputs import create_controlled_adata, create_controlled_gpr_dict, create_global_threshold @pytest.mark.parametrize("use_specificity", [True, False]) diff --git a/sccellfie/tests/test_sccellfie_pipeline.py b/sccellfie/tests/test_sccellfie_pipeline.py new file mode 100644 index 0000000..1d50fa8 --- /dev/null +++ b/sccellfie/tests/test_sccellfie_pipeline.py @@ -0,0 +1,155 @@ +import pytest +import numpy as np +import pandas as pd +from anndata import AnnData +from scipy.sparse import csr_matrix + +from sccellfie.sccellfie_pipeline import run_sccellfie_pipeline, process_chunk, compute_neighbors +from sccellfie.datasets.toy_inputs import (create_random_adata, create_controlled_adata, create_controlled_gpr_dict, + create_controlled_task_by_rxn, create_controlled_rxn_by_gene, create_controlled_task_by_gene, + create_global_threshold) + + +def add_toy_neighbors(adata, n_neighbors=10): + """ + Add a toy neighbor object to the AnnData object, mimicking scanpy's format. + """ + n_obs = adata.n_obs + + # Create toy connectivities and distances matrices + connectivities = csr_matrix((np.ones(n_obs * n_neighbors), + (np.repeat(np.arange(n_obs), n_neighbors), + np.random.choice(n_obs, n_obs * n_neighbors))), + shape=(n_obs, n_obs)) + + distances = csr_matrix((np.random.rand(n_obs * n_neighbors), + (np.repeat(np.arange(n_obs), n_neighbors), + np.random.choice(n_obs, n_obs * n_neighbors))), + shape=(n_obs, n_obs)) + + # Create the neighbors dictionary + adata.uns['neighbors'] = { + 'params': { + 'n_neighbors': n_neighbors, + 'method': 'umap' + }, + 'connectivities_key': 'connectivities', + 'distances_key': 'distances' + } + + # Add matrices to obsp + adata.obsp['connectivities'] = connectivities + adata.obsp['distances'] = distances + + # Add toy PCA and UMAP + adata.obsm['X_pca'] = np.random.rand(n_obs, 50) # 50 PCA components + adata.obsm['X_umap'] = np.random.rand(n_obs, 2) # 2D UMAP + +@pytest.fixture +def random_adata_with_neighbors(): + adata = create_random_adata(n_obs=100, n_vars=3, n_clusters=5) + add_toy_neighbors(adata) + return adata + +@pytest.fixture +def controlled_adata_with_neighbors(): + adata = create_controlled_adata() + add_toy_neighbors(adata) + return adata + +@pytest.fixture +def controlled_gpr_dict(): + gpr_dict = create_controlled_gpr_dict() + # Convert to DataFrame + return pd.DataFrame([{'Reaction': k, 'GPR-symbol': v.to_string()} for k, v in gpr_dict.items()]) + +@pytest.fixture +def controlled_task_by_rxn(): + return create_controlled_task_by_rxn() + +@pytest.fixture +def controlled_rxn_by_gene(): + return create_controlled_rxn_by_gene() + +@pytest.fixture +def controlled_task_by_gene(): + return create_controlled_task_by_gene() + + +@pytest.fixture +def global_threshold(): + df = create_global_threshold(threshold=0.5, n_vars=3) + df.index.name = 'symbol' + return df + + +@pytest.fixture +def sccellfie_db(controlled_gpr_dict, controlled_task_by_rxn, controlled_rxn_by_gene, controlled_task_by_gene, + global_threshold): + db = { + 'rxn_info': controlled_gpr_dict, + 'task_by_rxn': controlled_task_by_rxn, + 'rxn_by_gene': controlled_rxn_by_gene, + 'task_by_gene': controlled_task_by_gene, + 'thresholds': global_threshold + } + return db + + +def test_run_sccellfie_pipeline(random_adata_with_neighbors, sccellfie_db, tmp_path, monkeypatch): + + result = run_sccellfie_pipeline( + adata=random_adata_with_neighbors, + organism='human', + sccellfie_data_folder=None, + sccellfie_db=sccellfie_db, + n_counts_col='total_counts', + process_by_group=False, + groupby=None, + neighbors_key='neighbors', + n_neighbors=10, + batch_key=None, + threshold_key='global', + smooth_cells=True, + alpha=0.33, + chunk_size=5000, + disable_pbar=True, + save_folder=str(tmp_path), + save_filename='test_output', + verbose=True # Set to True to see more output + ) + + assert isinstance(result, dict) + assert 'adata' in result + assert isinstance(result['adata'], AnnData) + assert 'gene_scores' in result['adata'].layers + assert hasattr(result['adata'], 'reactions') + assert hasattr(result['adata'], 'metabolic_tasks') + +def test_run_sccellfie_pipeline_with_groups(random_adata_with_neighbors, sccellfie_db, tmp_path, monkeypatch): + random_adata_with_neighbors.obs['group'] = np.random.choice(['A', 'B', 'C'], size=random_adata_with_neighbors.n_obs) + + run_sccellfie_pipeline( + adata=random_adata_with_neighbors, + organism='human', + sccellfie_data_folder=None, + sccellfie_db=sccellfie_db, + n_counts_col='total_counts', # Changed from 'n_counts' to match the fixture + process_by_group=True, + groupby='group', + neighbors_key='neighbors', + n_neighbors=10, + batch_key=None, + threshold_key='global', + smooth_cells=True, + alpha=0.33, + chunk_size=5000, + disable_pbar=True, + save_folder=str(tmp_path), + save_filename='test_output_group', + verbose=False + ) + + # Check if files were created for each group + for group in ['A', 'B', 'C']: + assert (tmp_path / f"test_output_group_{group}.h5ad").exists() \ No newline at end of file diff --git a/task_data/mus_musculus/Thresholds.csv b/task_data/mus_musculus/Thresholds.csv index ee6a8ac..d0693fe 100644 --- a/task_data/mus_musculus/Thresholds.csv +++ b/task_data/mus_musculus/Thresholds.csv @@ -1,3044 +1,3026 @@ -symbol,ensembl_id,sccellfie_threshold -A4galt,ENSMUSG00000047878,2.493392887492253 -A4gnt,ENSMUSG00000037953,0.911013001 -Aaas,ENSMUSG00000036678,1.4732659157184338 -Aacs,ENSMUSG00000029482,1.6024100680695001 -Aadac,ENSMUSG00000027761,3.344482 -Aadat,ENSMUSG00000057228,2.7170193739054325 -Aanat,ENSMUSG00000020804,0.9635438620868174 -Aars1,ENSMUSG00000031960,1.671185458666224 -Aasdh,ENSMUSG00000055923,1.524130379 -Aasdhppt,ENSMUSG00000025894,1.4335514259856958 -Aass,ENSMUSG00000029695,3.344482 -Abat,ENSMUSG00000057880,2.3246732534021923 -Abca1,ENSMUSG00000015243,3.344482 -Abca3,ENSMUSG00000024130,1.8007487561630797 -Abca4,ENSMUSG00000028125,3.344482 -Abca8b,ENSMUSG00000020620,2.108122441120302 -Abcb11,ENSMUSG00000027048,1.2151442631102662 -Abcb1a,ENSMUSG00000040584,3.344482 -Abcb4,ENSMUSG00000042476,1.8220185592748934 -Abcb6,ENSMUSG00000026198,1.1349997866408914 -Abcc1,ENSMUSG00000023088,1.895718888899544 -Abcc2,ENSMUSG00000025194,3.344482 -Abcc3,ENSMUSG00000020865,2.1579377630548238 -Abcc4,ENSMUSG00000032849,2.1886798779446996 -Abcc5,ENSMUSG00000022822,2.488818973701028 -Abcc8,ENSMUSG00000040136,1.9271080611662599 -Abcc9,ENSMUSG00000030249,3.344482 -Abcd1,ENSMUSG00000031378,1.5600565940206272 -Abcd2,ENSMUSG00000055782,2.1316676283701215 -Abcd3,ENSMUSG00000028127,1.990164489456006 -Abcg1,ENSMUSG00000024030,1.993303267 -Abcg2,ENSMUSG00000029802,2.9950175558036243 -Abcg5,ENSMUSG00000040505,1.2467202689811088 -Abcg8,ENSMUSG00000024254,2.5575202735034366 -Abhd12,ENSMUSG00000032046,2.8068071413213214 -Abhd5,ENSMUSG00000032540,1.5589556981912547 -Abhd6,ENSMUSG00000025277,1.8312641064061985 -Abo,ENSMUSG00000015787,2.219849799742359 -Abtb2,ENSMUSG00000032724,3.0510382894398735 -Acaa1a,ENSMUSG00000036138,1.9356197855257542 -Acaa1b,ENSMUSG00000010651,3.344482 -Acaa2,ENSMUSG00000036880,2.936154326 -Acaca,ENSMUSG00000020532,2.6540202940700937 -Acacb,ENSMUSG00000042010,3.325717806535034 -Acad10,ENSMUSG00000029456,1.4951315064650201 -Acad11,ENSMUSG00000090150,1.3093587427395226 -Acad8,ENSMUSG00000031969,1.5397177659834533 -Acad9,ENSMUSG00000027710,1.385365609 -Acadl,ENSMUSG00000026003,2.708503541 -Acadm,ENSMUSG00000062908,2.394512925734221 -Acads,ENSMUSG00000029545,1.8295301138857376 -Acadsb,ENSMUSG00000030861,1.8640347107643689 -Acadvl,ENSMUSG00000018574,1.9721392382558143 -Acat1,ENSMUSG00000032047,2.433795289250083 -Acat2,ENSMUSG00000023832,1.6746590635583005 -Acat3,ENSMUSG00000062480,1.241797510152411 -Ace,ENSMUSG00000020681,3.344482 -Ace2,ENSMUSG00000015405,2.895483201250083 -Acer1,ENSMUSG00000045019,3.3311655615979814 -Acer2,ENSMUSG00000038007,2.105213610927909 -Acer3,ENSMUSG00000030760,2.4036035590017555 -Ache,ENSMUSG00000023328,1.7812703348553156 -Acly,ENSMUSG00000020917,1.985437295651586 -Acmsd,ENSMUSG00000026348,3.344482 -Aco1,ENSMUSG00000028405,1.668212545013903 -Aco2,ENSMUSG00000022477,2.4300180366236255 -Acod1,ENSMUSG00000022126,3.344482 -Acot1,ENSMUSG00000072949,2.2155406800801707 -Acot10,ENSMUSG00000047565,0.842318 -Acot11,ENSMUSG00000034853,2.5290109327687684 -Acot12,ENSMUSG00000021620,3.190195235200414 -Acot13,ENSMUSG00000006717,1.9600505395805523 -Acot2,ENSMUSG00000021226,1.4340840742043461 -Acot4,ENSMUSG00000052392,1.5842046356557693 -Acot6,ENSMUSG00000043487,1.3743051094252106 -Acot7,ENSMUSG00000028937,2.6643992565419823 -Acot8,ENSMUSG00000017307,1.5024461418187505 -Acot9,ENSMUSG00000025287,1.7191930330927379 -Acox1,ENSMUSG00000020777,2.213645579754853 -Acox2,ENSMUSG00000021751,2.868271682008475 -Acox3,ENSMUSG00000029098,1.6774009145308513 -Acp1,ENSMUSG00000044573,2.4875091475587583 -Acp2,ENSMUSG00000002103,1.5255737812606516 -Acp3,ENSMUSG00000032561,2.289930647886205 -Acp4,ENSMUSG00000012777,1.2796637880673216 -Acp5,ENSMUSG00000001348,3.203776197562731 -Acp6,ENSMUSG00000028093,1.5776153361805516 -Acp7,ENSMUSG00000037469,1.0544056016689054 -Acsbg1,ENSMUSG00000032281,3.344482 -Acsbg2,ENSMUSG00000024207,0.842318 -Acsf2,ENSMUSG00000076435,1.9474523003243982 -Acsf3,ENSMUSG00000015016,1.2043424782809096 -Acsl1,ENSMUSG00000018796,3.0232426792114295 -Acsl3,ENSMUSG00000032883,2.554544383137604 -Acsl4,ENSMUSG00000031278,1.7576607591198166 -Acsl5,ENSMUSG00000024981,1.5029685862780477 -Acsl6,ENSMUSG00000020333,1.9279610072282864 -Acsm1,ENSMUSG00000033533,3.344482 -Acsm2,ENSMUSG00000030945,3.344482 -Acsm3,ENSMUSG00000030935,2.6348612430940395 -Acsm4,ENSMUSG00000047026,1.33512682 -Acsm5,ENSMUSG00000030972,3.344482 -Acss1,ENSMUSG00000027452,2.7747987986169895 -Acss2,ENSMUSG00000027605,2.1278958096376868 -Acss3,ENSMUSG00000035948,3.344482 -Acy1,ENSMUSG00000023262,1.542926194670968 -Acy3,ENSMUSG00000024866,3.344482 -Acyp1,ENSMUSG00000008822,1.5141427842206865 -Acyp2,ENSMUSG00000060923,2.5149426886904482 -Ada,ENSMUSG00000017697,2.306594796174025 -Adcy1,ENSMUSG00000020431,3.344482 -Adcy10,ENSMUSG00000026567,2.017293373679025 -Adcy2,ENSMUSG00000021536,3.344482 -Adcy3,ENSMUSG00000020654,1.5757428228681818 -Adcy4,ENSMUSG00000022220,2.9786447034080963 -Adcy5,ENSMUSG00000022840,1.7325477960197968 -Adcy6,ENSMUSG00000022994,1.4418516306313696 -Adcy7,ENSMUSG00000031659,2.7164138147323613 -Adcy8,ENSMUSG00000022376,2.6874206406114425 -Adcy9,ENSMUSG00000005580,2.5381335658491224 -Adh1,ENSMUSG00000074207,3.344482 -Adh4,ENSMUSG00000037797,1.7025125870597293 -Adh5,ENSMUSG00000028138,2.225565370553679 -Adh6b,ENSMUSG00000074206,2.2642598551930297 -Adh7,ENSMUSG00000055301,3.344482 -Adhfe1,ENSMUSG00000025911,3.175705693 -Adi1,ENSMUSG00000020629,1.4179602125348334 -Adk,ENSMUSG00000039197,2.8493771914148844 -Ado,ENSMUSG00000057134,1.4561946492502074 -Adpgk,ENSMUSG00000025236,1.9944689001587184 -Adprh,ENSMUSG00000002844,1.940166460892654 -Adprm,ENSMUSG00000020910,1.4169289072904323 -Adsl,ENSMUSG00000022407,1.5535138160916224 -Adss1,ENSMUSG00000011148,2.097464765669147 -Adss2,ENSMUSG00000015961,1.7309688914948604 -Afmid,ENSMUSG00000017718,1.4672457927966178 -Aga,ENSMUSG00000031521,1.7973743563661917 -Agk,ENSMUSG00000029916,1.6472316886788358 -Agl,ENSMUSG00000033400,2.1783884117420826 -Agmat,ENSMUSG00000040706,1.093267910628829 -Agpat1,ENSMUSG00000034254,1.3030740027759942 -Agpat2,ENSMUSG00000026922,1.8654043016285298 -Agpat3,ENSMUSG00000001211,2.207174988649289 -Agpat4,ENSMUSG00000023827,2.132984100028107 -Agpat5,ENSMUSG00000031467,1.898719552522997 -Agps,ENSMUSG00000042410,2.127782655826071 -Agxt,ENSMUSG00000026272,3.344482 -Agxt2,ENSMUSG00000089678,2.7098166274561697 -Ahctf1,ENSMUSG00000026491,1.8854068167348856 -Ahcy,ENSMUSG00000027597,1.4304489786623018 -Ahcyl1,ENSMUSG00000027893,2.355884200372854 -Ahcyl2,ENSMUSG00000029772,3.1436077584631383 -Aicda,ENSMUSG00000040627,2.2733262688517963 -Ak1,ENSMUSG00000026817,1.6552102856886786 -Ak2,ENSMUSG00000028792,1.9810426291675354 -Ak3,ENSMUSG00000024782,1.7692001622316043 -Ak4,ENSMUSG00000028527,1.7666119320084874 -Ak5,ENSMUSG00000039058,3.315782743369602 -Ak6,ENSMUSG00000078941,1.5456314409433685 -Ak7,ENSMUSG00000041323,1.8582431875494827 -Ak8,ENSMUSG00000026807,1.2952747116173309 -Ak9,ENSMUSG00000091415,2.021324638388686 -Akp3,ENSMUSG00000036500,1.184113649 -Akr1a1,ENSMUSG00000028692,3.344482 -Akr1b1,ENSMUSG00000001642,1.8209487068651335 -Akr1b8,ENSMUSG00000029762,2.381004338804934 -Akr1c20,ENSMUSG00000054757,0.9704282064457618 -Akr1c21,ENSMUSG00000021207,3.344482 -Akr1c6,ENSMUSG00000021210,3.344482 -Akr1d1,ENSMUSG00000038641,2.968374183 -Akr7a5,ENSMUSG00000028743,1.9372026973999883 -Alad,ENSMUSG00000028393,1.9372704281603723 -Alas1,ENSMUSG00000032786,1.926071979639027 -Alas2,ENSMUSG00000025270,3.344482 -Alb,ENSMUSG00000029368,3.344482 -Aldh18a1,ENSMUSG00000025007,1.239167331141088 -Aldh1a1,ENSMUSG00000053279,3.344482 -Aldh1a2,ENSMUSG00000013584,3.344482 -Aldh1a3,ENSMUSG00000015134,2.8628296366951593 -Aldh1b1,ENSMUSG00000035561,1.8366713776493566 -Aldh1l1,ENSMUSG00000030088,2.6972231758731806 -Aldh1l2,ENSMUSG00000020256,1.9008138834514945 -Aldh2,ENSMUSG00000029455,3.344482 -Aldh3a1,ENSMUSG00000019102,3.344482 -Aldh3a2,ENSMUSG00000010025,1.5115938840090772 -Aldh3b1,ENSMUSG00000024885,2.2298420268235426 -Aldh3b2,ENSMUSG00000075296,1.4979160201273467 -Aldh3b3,ENSMUSG00000037263,2.519129851855534 -Aldh4a1,ENSMUSG00000028737,1.990343887 -Aldh5a1,ENSMUSG00000035936,1.3382227659297032 -Aldh6a1,ENSMUSG00000021238,2.1056114048072416 -Aldh7a1,ENSMUSG00000053644,1.7158398394583607 -Aldh8a1,ENSMUSG00000037542,3.344482 -Aldh9a1,ENSMUSG00000026687,1.9505364173861535 -Aldoa,ENSMUSG00000030695,3.344482 -Aldoa,ENSMUSG00000114515,3.344482 -Aldoa,ENSMUSG00000030695,3.344482 -Aldoa,ENSMUSG00000114515,3.344482 -Aldob,ENSMUSG00000028307,3.344482 -Aldoc,ENSMUSG00000017390,3.344482 -Alg1,ENSMUSG00000039427,1.4498923858832091 -Alg10b,ENSMUSG00000075470,1.2380674846301551 -Alg11,ENSMUSG00000063362,1.3670290181832565 -Alg12,ENSMUSG00000035845,1.2375648214564876 -Alg13,ENSMUSG00000041718,1.517630908 -Alg14,ENSMUSG00000039887,1.5737077397469923 -Alg2,ENSMUSG00000039740,1.8181784039018734 -Alg3,ENSMUSG00000033809,1.3268721871919353 -Alg5,ENSMUSG00000036632,1.6410858493072509 -Alg6,ENSMUSG00000073792,1.4391064481984523 -Alg8,ENSMUSG00000035704,1.324971355120779 -Alg9,ENSMUSG00000032059,1.3604542251726321 -Allc,ENSMUSG00000020636,0.842318 -Alox12,ENSMUSG00000000320,2.5326285989998074 -Alox12b,ENSMUSG00000032807,1.04101869 -Alox15,ENSMUSG00000018924,3.344482 -Alox5,ENSMUSG00000025701,3.0926009246749495 -Alox8,ENSMUSG00000020891,1.0493719458628383 -Aloxe3,ENSMUSG00000020892,1.2572368845944273 -Alpi,ENSMUSG00000079440,3.344482 -Alpl,ENSMUSG00000028766,3.344482 -Alppl2,ENSMUSG00000026246,0.842318 -Amacr,ENSMUSG00000022244,1.7785922389644389 -Amd1,ENSMUSG00000075232,1.8597779168000785 -Amd2,ENSMUSG00000063953,1.271478831510859 -Amdhd1,ENSMUSG00000015890,1.0888806228049346 -Amdhd2,ENSMUSG00000036820,1.5123148756150118 -Amfr,ENSMUSG00000031751,1.8587109295437514 -Amn,ENSMUSG00000021278,1.923233760263462 -Ampd1,ENSMUSG00000070385,3.344482 -Ampd2,ENSMUSG00000027889,1.4434795096008517 -Ampd3,ENSMUSG00000005686,1.9340841284136627 -Amt,ENSMUSG00000032607,1.792588949596855 -Amy1,ENSMUSG00000074264,1.9999352595019002 -Amy2a4,ENSMUSG00000096770,0.842318 -Amy2b,ENSMUSG00000083079,3.344482 -Anapc11,ENSMUSG00000025135,2.446161956067994 -Anpep,ENSMUSG00000039062,2.5394134851928953 -Anxa3,ENSMUSG00000029484,3.344482 -Aoah,ENSMUSG00000021322,3.344482 -Aoc1,ENSMUSG00000029811,3.344482 -Aoc2,ENSMUSG00000078651,1.1911506567018595 -Aoc3,ENSMUSG00000019326,2.4345171076434564 -Aox1,ENSMUSG00000063558,3.344482 -Ap1b1,ENSMUSG00000009090,1.6948068249122485 -Ap1g1,ENSMUSG00000031731,1.917222543 -Ap1m1,ENSMUSG00000003033,1.7182446437674903 -Ap1s1,ENSMUSG00000004849,2.249419403807594 -Ap1s2,ENSMUSG00000031367,2.444224556 -Ap3b2,ENSMUSG00000062444,1.7791407258215466 -Ap3d1,ENSMUSG00000020198,1.783368781961466 -Ap3m1,ENSMUSG00000021824,1.6838676892275306 -Ap3m2,ENSMUSG00000031539,1.7434663287673131 -Ap3s2,ENSMUSG00000063801,1.6197673357379507 -Apip,ENSMUSG00000010911,1.4472628406044412 -Apob,ENSMUSG00000020609,3.344482 -Apobec4,ENSMUSG00000055547,1.2002127642068314 -Apoc1,ENSMUSG00000040564,3.344482 -Apoc2,ENSMUSG00000002992,3.344482 -Apoc3,ENSMUSG00000032081,3.344482 -Apoe,ENSMUSG00000002985,3.344482 -Aprt,ENSMUSG00000006589,2.2401883349712732 -Aqp1,ENSMUSG00000004655,3.344482 -Aqp2,ENSMUSG00000023013,3.344482 -Aqp3,ENSMUSG00000028435,3.344482 -Aqp4,ENSMUSG00000024411,3.344482 -Aqp5,ENSMUSG00000044217,3.344482 -Aqp6,ENSMUSG00000043144,3.344482 -Aqp7,ENSMUSG00000028427,3.344482 -Aqp8,ENSMUSG00000030762,3.344482 -Aqp9,ENSMUSG00000032204,3.344482 -Arcn1,ENSMUSG00000032096,1.8945743136475295 -Arf1,ENSMUSG00000048076,3.344482 -Arg1,ENSMUSG00000019987,2.888689364713269 -Arg2,ENSMUSG00000021125,1.941522624 -Arid4b,ENSMUSG00000039219,2.883081640309198 -Arsa,ENSMUSG00000022620,1.2887597755790023 -Arsb,ENSMUSG00000042082,2.2178675947187245 -Art1,ENSMUSG00000030996,3.344482 -Art3,ENSMUSG00000034842,3.344482 -Art4,ENSMUSG00000030217,2.4377003734541804 -Art5,ENSMUSG00000070424,3.058765585689938 -As3mt,ENSMUSG00000003559,1.757896716968345 -Asah1,ENSMUSG00000031591,2.0928384811446503 -Asah2,ENSMUSG00000024887,1.651484864 -Asb12,ENSMUSG00000031204,0.9428751258689342 -Ash1l,ENSMUSG00000028053,3.344482 -Asl,ENSMUSG00000025533,1.8728840311025388 -Asmt,ENSMUSG00000093806,2.010632401 -Asns,ENSMUSG00000029752,1.7730079823365699 -Aspa,ENSMUSG00000020774,3.344482 -Aspg,ENSMUSG00000037686,1.6142120754341336 -Asph,ENSMUSG00000028207,2.958570160199946 -Asrgl1,ENSMUSG00000024654,2.1838093588883987 -Ass1,ENSMUSG00000076441,3.344482 -Ate1,ENSMUSG00000030850,2.2318819245364474 -Atg5lrt,ENSMUSG00000096486,0.842318 -Atg9b,ENSMUSG00000038295,1.1227601942174292 -Atic,ENSMUSG00000026192,1.45076658 -Atp10a,ENSMUSG00000025324,2.830014862804007 -Atp11a,ENSMUSG00000031441,2.086403009332147 -Atp11c,ENSMUSG00000062949,2.4304318289709124 -Atp12a,ENSMUSG00000022229,1.8302062133815478 -Atp1a1,ENSMUSG00000033161,3.344482 -Atp1a2,ENSMUSG00000007097,3.344482 -Atp1a3,ENSMUSG00000040907,3.344482 -Atp1a4,ENSMUSG00000007107,1.024869123754464 -Atp1b1,ENSMUSG00000026576,3.344482 -Atp1b2,ENSMUSG00000041329,3.344482 -Atp1b3,ENSMUSG00000032412,2.542737870437815 -Atp1b4,ENSMUSG00000016327,3.344482 -Atp2a1,ENSMUSG00000030730,3.344482 -Atp2a2,ENSMUSG00000029467,3.344482 -Atp2a3,ENSMUSG00000020788,2.6823263507058566 -Atp2b1,ENSMUSG00000019943,3.344482 -Atp2b2,ENSMUSG00000030302,3.344482 -Atp2b3,ENSMUSG00000031376,2.3462990603701366 -Atp2b4,ENSMUSG00000026463,2.829320326894627 -Atp2c1,ENSMUSG00000032570,2.719216028265468 -Atp2c2,ENSMUSG00000034112,1.302008392907049 -Atp4a,ENSMUSG00000005553,1.747254452019611 -Atp4b,ENSMUSG00000031449,1.363743700636838 -Atp5f1a,ENSMUSG00000025428,3.344482 -Atp5f1b,ENSMUSG00000025393,3.344482 -Atp5f1c,ENSMUSG00000025781,3.344482 -Atp5f1d,ENSMUSG00000003072,3.344482 -Atp5f1e,ENSMUSG00000016252,3.344482 -Atp5mc1,ENSMUSG00000006057,3.344482 -Atp5mc2,ENSMUSG00000062683,3.344482 -Atp5mc3,ENSMUSG00000018770,3.344482 -Atp5me,ENSMUSG00000050856,3.344482 -Atp5mf,ENSMUSG00000038690,3.344482 -Atp5mg,ENSMUSG00000038717,3.344482 -Atp5mj,ENSMUSG00000021290,3.344482 -Atp5mk,ENSMUSG00000071528,3.344482 -Atp5pb,ENSMUSG00000000563,3.344482 -Atp5pd,ENSMUSG00000034566,3.344482 -Atp5pf,ENSMUSG00000022890,3.344482 -Atp5po,ENSMUSG00000116933,2.941225738267674 -Atp5po,ENSMUSG00000022956,2.941225738267674 -Atp5po,ENSMUSG00000116933,3.344482 -Atp5po,ENSMUSG00000022956,3.344482 -Atp6ap1,ENSMUSG00000019087,2.778059218778064 -Atp6v0a1,ENSMUSG00000019302,3.344482 -Atp6v0a2,ENSMUSG00000038023,1.5605429389574716 -Atp6v0a4,ENSMUSG00000038600,3.344482 -Atp6v0b,ENSMUSG00000033379,3.344482 -Atp6v0c,ENSMUSG00000024121,3.344482 -Atp6v0d1,ENSMUSG00000013160,2.5039492222736457 -Atp6v0d2,ENSMUSG00000028238,3.344482 -Atp6v0e,ENSMUSG00000015575,3.029397846305327 -Atp6v1a,ENSMUSG00000052459,3.344482 -Atp6v1b1,ENSMUSG00000006269,3.344482 -Atp6v1b2,ENSMUSG00000006273,3.344482 -Atp6v1c1,ENSMUSG00000022295,2.6779283928298714 -Atp6v1c2,ENSMUSG00000020566,2.226392169916526 -Atp6v1d,ENSMUSG00000021114,2.674178617560047 -Atp6v1e1,ENSMUSG00000019210,3.344482 -Atp6v1e2,ENSMUSG00000053375,1.3572776299372793 -Atp6v1f,ENSMUSG00000004285,3.344482 -Atp6v1g1,ENSMUSG00000039105,3.344482 -Atp6v1g2,ENSMUSG00000024403,3.344482 -Atp6v1g3,ENSMUSG00000026394,3.344482 -Atp6v1h,ENSMUSG00000033793,2.309422664170805 -Atp8a1,ENSMUSG00000037685,3.344482 -Atp8b1,ENSMUSG00000039529,1.8031089678591623 -Atp8b2,ENSMUSG00000060671,1.3433250643478805 -Atxn3,ENSMUSG00000021189,1.5411992365731106 -Auh,ENSMUSG00000021460,1.9725186792682936 -Awat1,ENSMUSG00000015665,1.6652730489106238 -Awat2,ENSMUSG00000031220,1.6188190883354776 -Azin2,ENSMUSG00000028789,1.425771576723598 -B3galnt1,ENSMUSG00000043300,1.5410461905936987 -B3galnt2,ENSMUSG00000039242,1.602292987056182 -B3galt1,ENSMUSG00000034780,3.344482 -B3galt2,ENSMUSG00000033849,2.667729347388957 -B3galt4,ENSMUSG00000067370,1.2712830976529164 -B3galt5,ENSMUSG00000074892,1.8783282041657356 -B3galt6,ENSMUSG00000050796,1.2730039145915792 -B3gat1,ENSMUSG00000045994,1.7851847352671606 -B3gat2,ENSMUSG00000026156,2.411895334787274 -B3gat3,ENSMUSG00000071649,1.8523975256820913 -B3glct,ENSMUSG00000051950,1.5584210673525762 -B3gnt2,ENSMUSG00000051650,1.9391701307852078 -B3gnt3,ENSMUSG00000031803,1.400346988929206 -B3gnt4,ENSMUSG00000029431,1.1656584029255097 -B3gnt5,ENSMUSG00000022686,1.7448045676020576 -B3gnt6,ENSMUSG00000074004,1.1914462520281768 -B3gnt7,ENSMUSG00000079445,1.553627694883845 -B3gnt8,ENSMUSG00000059479,1.8878905948987024 -B3gnt9,ENSMUSG00000069920,1.5535422972381059 -B3gntl1,ENSMUSG00000046605,1.6897305494029327 -B4galnt1,ENSMUSG00000006731,1.6594523225089777 -B4galnt2,ENSMUSG00000013418,2.0328215450533786 -B4galnt3,ENSMUSG00000041372,1.0686582936202518 -B4galnt4,ENSMUSG00000055629,1.2014476505369918 -B4galt1,ENSMUSG00000028413,2.7798074365582957 -B4galt2,ENSMUSG00000028541,1.2556676401197757 -B4galt3,ENSMUSG00000052423,1.4304582126761751 -B4galt4,ENSMUSG00000022793,1.5844690269644819 -B4galt5,ENSMUSG00000017929,1.8207445115376273 -B4galt6,ENSMUSG00000056124,2.3260889258220403 -B4galt7,ENSMUSG00000021504,1.2877660686725652 -B4gat1,ENSMUSG00000047379,1.5323609051033718 -Baat,ENSMUSG00000039653,1.3468347059790344 -Bag6,ENSMUSG00000024392,1.7544992552788266 -Bard1,ENSMUSG00000026196,1.4074104285385776 -Bbox1,ENSMUSG00000041660,2.903221497361324 -Bcap31,ENSMUSG00000002015,2.4218455451237193 -Bcat1,ENSMUSG00000030268,1.749555414143653 -Bcat2,ENSMUSG00000030826,1.5636593670138443 -Bche,ENSMUSG00000027792,1.943113943 -Bckdha,ENSMUSG00000060376,1.8491199130641838 -Bckdhb,ENSMUSG00000032263,2.3997219056310386 -Bckdk,ENSMUSG00000030802,1.579344064283372 -Bco1,ENSMUSG00000031845,1.5925752145306162 -Bco2,ENSMUSG00000032066,2.0728239664378862 -Bdh1,ENSMUSG00000046598,1.4661512551021334 -Bdh2,ENSMUSG00000028167,3.344482 -Bet1,ENSMUSG00000032757,1.5983358897207796 -Bhmt,ENSMUSG00000074768,3.344482 -Bhmt2,ENSMUSG00000042118,2.8266967416347675 -Birc6,ENSMUSG00000024073,3.092950102490304 -Blvra,ENSMUSG00000001999,1.6381082996021152 -Blvrb,ENSMUSG00000040466,2.8992597072487705 -Bmp1,ENSMUSG00000022098,2.0409262964685615 -Bpgm,ENSMUSG00000038871,2.1634935356795753 -Bpnt1,ENSMUSG00000026617,1.5943728177231458 -Bpnt2,ENSMUSG00000066324,1.9692827541522564 -Brap,ENSMUSG00000029458,1.565980300924381 -Brpf1,ENSMUSG00000001632,1.4853103011941506 -Bscl2,ENSMUSG00000071657,1.9320873784195616 -Bst1,ENSMUSG00000029082,3.344482 -Btd,ENSMUSG00000021900,1.7588187480906405 -C1galt1,ENSMUSG00000042460,1.70115192 -C1galt1c1,ENSMUSG00000048970,1.6200365064405091 -Cad,ENSMUSG00000013629,1.183390482796522 -Calm1,ENSMUSG00000001175,3.344482 -Calm2,ENSMUSG00000036438,3.344482 -Calm3,ENSMUSG00000019370,3.344482 -Calr,ENSMUSG00000003814,3.344482 -Cant1,ENSMUSG00000025575,1.3557642321285088 -Canx,ENSMUSG00000020368,3.344482 -Capn3,ENSMUSG00000079110,2.8106701504473453 -Car1,ENSMUSG00000027556,3.344482 -Car12,ENSMUSG00000032373,2.415041011312979 -Car13,ENSMUSG00000027555,1.732715771 -Car14,ENSMUSG00000038526,2.925314061 -Car2,ENSMUSG00000027562,3.344482 -Car3,ENSMUSG00000027559,3.344482 -Car4,ENSMUSG00000000805,3.344482 -Car5a,ENSMUSG00000025317,2.402007268495702 -Car5b,ENSMUSG00000031373,2.823808346847763 -Car6,ENSMUSG00000028972,2.405958092569966 -Car7,ENSMUSG00000031883,1.201674832772355 -Car9,ENSMUSG00000028463,1.934779683686543 -Carns1,ENSMUSG00000075289,1.687113404 -Cars1,ENSMUSG00000010755,1.538245013500799 -Cat,ENSMUSG00000027187,2.5284688757216456 -Cbl,ENSMUSG00000034342,2.074721416874239 -Cblb,ENSMUSG00000022637,2.546708856590386 -Cblc,ENSMUSG00000040525,1.6129289527990103 -Cblif,ENSMUSG00000024682,1.239032710156059 -Cbll1,ENSMUSG00000020659,1.4463785912519218 -Cbr1,ENSMUSG00000051483,1.8555476858485251 -Cbr3,ENSMUSG00000022947,2.5996345050570797 -Cbr4,ENSMUSG00000031641,1.2177464982941892 -Cbs,ENSMUSG00000024039,2.627125337 -Ccnb1ip1,ENSMUSG00000071470,1.124328373803084 -Cd36,ENSMUSG00000002944,3.344482 -Cd38,ENSMUSG00000029084,3.344482 -Cda,ENSMUSG00000028755,2.3682893156259692 -Cdc34,ENSMUSG00000020307,1.4531574489969878 -Cdipt,ENSMUSG00000030682,1.8472550997282902 -Cdo1,ENSMUSG00000033022,2.535532039407907 -Cds1,ENSMUSG00000029330,1.6204958387969655 -Cds2,ENSMUSG00000058793,2.595446925556028 -Cel,ENSMUSG00000026818,3.344482 -Cept1,ENSMUSG00000040774,1.978115652077292 -Cerk,ENSMUSG00000035891,2.4581748015516056 -Cers1,ENSMUSG00000087408,1.3397512061614107 -Cers2,ENSMUSG00000015714,2.390870196735465 -Cers3,ENSMUSG00000030510,1.2997581340464428 -Cers4,ENSMUSG00000008206,2.2204098536069656 -Cers5,ENSMUSG00000023021,1.9620423282354593 -Cers6,ENSMUSG00000027035,3.1390952081738326 -Cert1,ENSMUSG00000021669,2.0085785821486737 -Ces1d,ENSMUSG00000056973,3.344482 -Ces2h,ENSMUSG00000091813,1.694348355278191 -Ces3a,ENSMUSG00000069922,3.344482 -Ces3b,ENSMUSG00000062181,3.344482 -Ces5a,ENSMUSG00000058019,1.1184887499646992 -Ch25h,ENSMUSG00000050370,2.3938466213737506 -Chat,ENSMUSG00000021919,2.373359286205527 -Chdh,ENSMUSG00000015970,2.521872590468161 -Chfr,ENSMUSG00000014668,2.0729610085027255 -Chi3l1,ENSMUSG00000064246,3.344482 -Chia1,ENSMUSG00000062778,2.5964499715388696 -Chit1,ENSMUSG00000026450,2.2387707983284564 -Chka,ENSMUSG00000024843,2.7151932111884687 -Chkb,ENSMUSG00000022617,2.0100299489315447 -Chpf,ENSMUSG00000032997,1.3819346744881527 -Chpf2,ENSMUSG00000038181,1.3754459523702445 -Chpt1,ENSMUSG00000060002,3.285310343 -Chst1,ENSMUSG00000027221,2.4453547606766017 -Chst10,ENSMUSG00000026080,1.4779871885194453 -Chst11,ENSMUSG00000034612,2.3940829028510087 -Chst12,ENSMUSG00000036599,1.6072562850668843 -Chst13,ENSMUSG00000056643,1.5532918952329136 -Chst14,ENSMUSG00000074916,1.3729031170596582 -Chst15,ENSMUSG00000030930,1.6321328910011734 -Chst2,ENSMUSG00000033350,1.7871187116808716 -Chst3,ENSMUSG00000057337,2.485100086236142 -Chst4,ENSMUSG00000035930,2.4824092770097876 -Chst5,ENSMUSG00000031952,1.9963058132771643 -Chst7,ENSMUSG00000037347,2.2248620963808006 -Chst8,ENSMUSG00000060402,1.6354101598050874 -Chst9,ENSMUSG00000047161,3.344482 -Chsy1,ENSMUSG00000032640,1.7510175343577765 -Chsy3,ENSMUSG00000058152,3.344482 -Cinp,ENSMUSG00000021276,1.5249218181783257 -Ckb,ENSMUSG00000001270,3.344482 -Ckm,ENSMUSG00000030399,3.344482 -Ckmt1,ENSMUSG00000000308,2.149350135826207 -Ckmt2,ENSMUSG00000021622,3.344482 -Clcf1,ENSMUSG00000040663,1.8635077004884764 -Clock,ENSMUSG00000029238,2.4063020008322527 -Clps,ENSMUSG00000024225,3.344482 -Clta,ENSMUSG00000028478,3.344482 -Cltb,ENSMUSG00000047547,2.8013854089794767 -Cltc,ENSMUSG00000047126,3.289200951449451 -Cltrn,ENSMUSG00000015401,3.344482 -Clybl,ENSMUSG00000025545,2.9645224303496893 -Cma1,ENSMUSG00000022225,3.344482 -Cmas,ENSMUSG00000030282,1.9655746509861327 -Cmpk1,ENSMUSG00000028719,2.2343844408155964 -Cmpk2,ENSMUSG00000020638,1.2846404423197295 -Cmtr1,ENSMUSG00000024019,1.2470188905913286 -Cndp1,ENSMUSG00000056162,2.2136230162878916 -Cndp2,ENSMUSG00000024644,2.3472707610752708 -Cnot4,ENSMUSG00000038784,2.8119003900083803 -Cnp,ENSMUSG00000006782,3.344482 -Coasy,ENSMUSG00000001755,1.453428656674387 -Colgalt1,ENSMUSG00000034807,1.6501740505250346 -Colgalt2,ENSMUSG00000032649,1.7071678829108234 -Comt,ENSMUSG00000000326,2.6801309319263917 -Comtd1,ENSMUSG00000021773,1.5790644234886146 -Cop1,ENSMUSG00000040782,2.165556619 -Copa,ENSMUSG00000026553,2.1901445981417766 -Copb1,ENSMUSG00000030754,2.0125409832180536 -Copb2,ENSMUSG00000032458,1.9050053210806495 -Cope,ENSMUSG00000055681,2.6993357705899483 -Copg1,ENSMUSG00000030058,1.9493072467306227 -Copg2,ENSMUSG00000025607,2.1884296217951076 -Copz1,ENSMUSG00000060992,2.043250077562769 -Copz2,ENSMUSG00000018672,2.301228108306103 -Coq2,ENSMUSG00000029319,1.671966512711062 -Coq3,ENSMUSG00000028247,1.6208797433724216 -Coq5,ENSMUSG00000041733,1.6556790945935436 -Coq6,ENSMUSG00000021235,1.3416841863410516 -Coq7,ENSMUSG00000030652,1.7849947261056203 -Cox10,ENSMUSG00000042148,1.5470298866294685 -Cox4i1,ENSMUSG00000031818,3.344482 -Cox4i2,ENSMUSG00000009876,3.344482 -Cox5a,ENSMUSG00000000088,3.344482 -Cox5b,ENSMUSG00000061518,3.344482 -Cox6a1,ENSMUSG00000041697,3.344482 -Cox6a2,ENSMUSG00000030785,3.344482 -Cox6b1,ENSMUSG00000036751,3.344482 -Cox6b2,ENSMUSG00000051811,1.8547750686166833 -Cox6c,ENSMUSG00000014313,3.344482 -Cox7a1,ENSMUSG00000074218,2.9543399011040385 -Cox7a2,ENSMUSG00000032330,3.344482 -Cox7b,ENSMUSG00000031231,3.344482 -Cox7b2,ENSMUSG00000049387,1.0618355019810812 -Cox7c,ENSMUSG00000017778,3.344482 -Cox8a,ENSMUSG00000035885,3.344482 -Cp,ENSMUSG00000003617,3.344482 -Cpa1,ENSMUSG00000054446,3.344482 -Cpa2,ENSMUSG00000071553,3.344482 -Cpa3,ENSMUSG00000001865,3.344482 -Cpa5,ENSMUSG00000029788,0.842318 -Cpa6,ENSMUSG00000042501,1.8304515802561834 -Cpne7,ENSMUSG00000034796,2.544617113294978 -Cpox,ENSMUSG00000022742,1.7823639645241598 -Cps1,ENSMUSG00000025991,2.6327023976513244 -Cpt1a,ENSMUSG00000024900,2.714067987721285 -Cpt1b,ENSMUSG00000078937,1.4795767117337228 -Cpt1c,ENSMUSG00000007783,1.7233984710049433 -Cpt2,ENSMUSG00000028607,1.8028221562522797 -Crat,ENSMUSG00000026853,1.563770813372735 -Crebbp,ENSMUSG00000022521,3.020146075256585 -Crisp1,ENSMUSG00000025431,3.344482 -Crls1,ENSMUSG00000027357,1.3334582515160902 -Crot,ENSMUSG00000003623,2.0600106615446343 -Cryl1,ENSMUSG00000021947,2.048690449307115 -Cryz,ENSMUSG00000028199,1.6773719176287802 -Cs,ENSMUSG00000005683,2.1938298443868085 -Csad,ENSMUSG00000023044,1.7850849045180424 -Csgalnact1,ENSMUSG00000036356,2.3196489909681417 -Csgalnact2,ENSMUSG00000042042,1.5052111025995318 -Csnk1g2,ENSMUSG00000003345,1.6388471717423119 -Ctbp1,ENSMUSG00000037373,2.3789650881860314 -Ctdspl2,ENSMUSG00000033411,2.0273487650536746 -Cth,ENSMUSG00000028179,2.1740160966066084 -Ctps1,ENSMUSG00000028633,1.4207993365407419 -Ctps2,ENSMUSG00000031360,1.920827073169529 -Ctsa,ENSMUSG00000017760,2.633377482 -Ctsb,ENSMUSG00000021939,3.344482 -Ctsc,ENSMUSG00000030560,3.344482 -Ctsd,ENSMUSG00000007891,3.344482 -Ctse,ENSMUSG00000004552,3.344482 -Ctsf,ENSMUSG00000083282,2.087493079957073 -Ctsg,ENSMUSG00000040314,3.344482 -Ctsh,ENSMUSG00000032359,3.344482 -Ctsk,ENSMUSG00000028111,3.344482 -Ctsl,ENSMUSG00000021477,3.344482 -Ctso,ENSMUSG00000028015,2.1855713769400595 -Ctss,ENSMUSG00000038642,3.344482 -Ctsw,ENSMUSG00000024910,3.344482 -Ctsz,ENSMUSG00000016256,3.344482 -Cubn,ENSMUSG00000026726,3.344482 -Cul1,ENSMUSG00000029686,2.4356920194691885 -Cwc27,ENSMUSG00000021715,1.9885512889753458 -Cyb5d1,ENSMUSG00000044795,0.9034368399049393 -Cyb5r1,ENSMUSG00000026456,1.5995043646173515 -Cyb5r2,ENSMUSG00000048065,1.4437935626841227 -Cyb5r3,ENSMUSG00000018042,2.490897942089283 -Cyb5r4,ENSMUSG00000032872,1.6648785094267773 -Cyb5rl,ENSMUSG00000028621,1.3296256172272474 -Cybrd1,ENSMUSG00000027015,2.036468675227202 -Cyc1,ENSMUSG00000022551,2.8280968461105958 -Cyld,ENSMUSG00000036712,2.1860977491781934 -Cyp11a1,ENSMUSG00000032323,1.0603116434527833 -Cyp11b1,ENSMUSG00000075604,1.394641495227085 -Cyp11b2,ENSMUSG00000022589,1.2536247052178766 -Cyp17a1,ENSMUSG00000003555,2.9335561796631655 -Cyp19a1,ENSMUSG00000032274,1.2766208705834345 -Cyp1a1,ENSMUSG00000032315,3.344482 -Cyp1a2,ENSMUSG00000032310,3.344482 -Cyp1b1,ENSMUSG00000024087,2.8308187603265598 -Cyp21a1,ENSMUSG00000024365,1.312291103610247 -Cyp24a1,ENSMUSG00000038567,1.6803230651690022 -Cyp26a1,ENSMUSG00000024987,2.0555860688479823 -Cyp26b1,ENSMUSG00000063415,3.344482 -Cyp27a1,ENSMUSG00000026170,3.344482 -Cyp27b1,ENSMUSG00000006724,0.8967958580669441 -Cyp2a4,ENSMUSG00000074254,3.344482 -Cyp2a5,ENSMUSG00000005547,3.344482 -Cyp2b10,ENSMUSG00000030483,3.096613456464715 -Cyp2c29,ENSMUSG00000003053,3.344482 -Cyp2c38,ENSMUSG00000032808,1.4121664457807146 -Cyp2c39,ENSMUSG00000025003,0.8559876450541779 -Cyp2c54,ENSMUSG00000067225,2.121743413590022 -Cyp2c55,ENSMUSG00000025002,3.344482 -Cyp2c65,ENSMUSG00000067231,2.1226391574323276 -Cyp2c66,ENSMUSG00000067229,1.3811765530232716 -Cyp2d22,ENSMUSG00000061740,3.281162812584106 -Cyp2e1,ENSMUSG00000025479,3.344482 -Cyp2f2,ENSMUSG00000052974,3.344482 -Cyp2j6,ENSMUSG00000052914,2.1404849256404406 -Cyp2j9,ENSMUSG00000015224,3.2947829538789697 -Cyp2r1,ENSMUSG00000030670,1.3231009968125633 -Cyp2s1,ENSMUSG00000040703,1.3523225043483384 -Cyp2u1,ENSMUSG00000027983,1.310537895965402 -Cyp39a1,ENSMUSG00000023963,1.766478417682886 -Cyp3a13,ENSMUSG00000029727,1.2541162212787753 -Cyp3a16,ENSMUSG00000038656,0.9318780852685818 -Cyp3a25,ENSMUSG00000029630,3.344482 -Cyp3a41a,ENSMUSG00000075551,1.621416397656929 -Cyp3a41b,ENSMUSG00000075552,0.842318 -Cyp3a44,ENSMUSG00000054417,2.552401197365634 -Cyp3a57,ENSMUSG00000070419,1.650494673415481 -Cyp46a1,ENSMUSG00000021259,1.7232569917825074 -Cyp4a10,ENSMUSG00000066072,3.344482 -Cyp4a12a,ENSMUSG00000066071,3.344482 -Cyp4a12b,ENSMUSG00000078597,1.3023846030502337 -Cyp4a31,ENSMUSG00000028712,3.344482 -Cyp4a32,ENSMUSG00000063929,3.1114290596764698 -Cyp4b1,ENSMUSG00000028713,3.344482 -Cyp4f14,ENSMUSG00000024292,2.868193707681485 -Cyp4f15,ENSMUSG00000073424,2.8072756085442436 -Cyp4f17,ENSMUSG00000091586,2.4119418317739627 -Cyp4f18,ENSMUSG00000003484,3.344482 -Cyp4f39,ENSMUSG00000061126,1.790358965 -Cyp4f40,ENSMUSG00000090700,1.6294975381733696 -Cyp4v3,ENSMUSG00000079057,1.955233675553847 -Cyp4x1,ENSMUSG00000047155,1.2098546200766325 -Cyp51,ENSMUSG00000001467,2.0630164488592038 -Cyp7a1,ENSMUSG00000028240,2.020393174547786 -Cyp7b1,ENSMUSG00000039519,2.648503354109764 -Cyp8b1,ENSMUSG00000050445,3.2567708842012157 -Cytb,ENSMUSG00000064370,3.344482 -Dad1,ENSMUSG00000022174,3.344482 -Dagla,ENSMUSG00000035735,1.4826337577783815 -Daglb,ENSMUSG00000039206,1.9345632600127147 -Dao,ENSMUSG00000042096,3.344482 -Dars1,ENSMUSG00000026356,1.8110279555786404 -Dbh,ENSMUSG00000000889,2.775199347132415 -Dbi,ENSMUSG00000026385,3.344482 -Dbp,ENSMUSG00000059824,2.493925891496995 -Dbt,ENSMUSG00000000340,1.4975054394017309 -Dck,ENSMUSG00000029366,1.3846516663258024 -Dct,ENSMUSG00000022129,3.0070309196623897 -Dctd,ENSMUSG00000031562,1.1713237683172968 -Dctpp1,ENSMUSG00000042462,1.843203883920151 -Dcxr,ENSMUSG00000039450,2.8664793183340698 -Ddah1,ENSMUSG00000028194,3.344482 -Ddah2,ENSMUSG00000007039,3.344482 -Ddc,ENSMUSG00000020182,2.507221779371253 -Ddo,ENSMUSG00000063428,2.6645570504626703 -Ddost,ENSMUSG00000028757,2.517109332978934 -Ddx19b,ENSMUSG00000033658,1.3204118265953066 -Decr1,ENSMUSG00000028223,1.902896329579262 -Decr2,ENSMUSG00000036775,1.2836116527488488 -Degs1,ENSMUSG00000038633,2.2669161491428973 -Degs2,ENSMUSG00000021263,2.700680337003842 -Dera,ENSMUSG00000030225,1.7309004070356542 -Derl1,ENSMUSG00000022365,1.8973505546757912 -Derl3,ENSMUSG00000009092,1.5932231153114835 -Dgat1,ENSMUSG00000022555,1.878496038980407 -Dgat2,ENSMUSG00000030747,1.7376123780346922 -Dgat2l6,ENSMUSG00000067597,0.936452633 -Dgka,ENSMUSG00000025357,1.9861030212302968 -Dgkb,ENSMUSG00000036095,3.344482 -Dgkd,ENSMUSG00000070738,2.7062326560799104 -Dgke,ENSMUSG00000000276,1.6363950831421288 -Dgkg,ENSMUSG00000022861,3.344482 -Dgkh,ENSMUSG00000034731,3.268608333 -Dgki,ENSMUSG00000038665,3.344482 -Dgkk,ENSMUSG00000062393,2.1562310268892726 -Dgkq,ENSMUSG00000004815,1.4516398418000345 -Dgkz,ENSMUSG00000040479,2.5533607096599282 -Dguok,ENSMUSG00000014554,1.8397439896218484 -Dhcr24,ENSMUSG00000034926,1.6667878445220936 -Dhcr7,ENSMUSG00000058454,1.434884186639839 -Dhdds,ENSMUSG00000012117,1.8794281420573493 -Dhdh,ENSMUSG00000011382,1.962114446251483 -Dhfr,ENSMUSG00000021707,1.6120229151619108 -Dhodh,ENSMUSG00000031730,1.3733225896114816 -Dhps,ENSMUSG00000060038,1.6291993362283395 -Dhrs2,ENSMUSG00000022209,1.363839504114833 -Dhrs3,ENSMUSG00000066026,3.344482 -Dhrs4,ENSMUSG00000022210,1.909082920329671 -Dhrs9,ENSMUSG00000027068,3.344482 -Dhtkd1,ENSMUSG00000025815,1.5952737004337374 -Dio1,ENSMUSG00000034785,1.2868299179424119 -Dio2,ENSMUSG00000007682,2.9073232265862394 -Dio3,ENSMUSG00000075707,1.4109693475547573 -Dlat,ENSMUSG00000000168,1.884426777428765 -Dld,ENSMUSG00000020664,1.8617495436547848 -Dlst,ENSMUSG00000004789,1.887174201 -Dmgdh,ENSMUSG00000042102,1.5655519107405076 -Dnajc1,ENSMUSG00000026740,2.9912289342808243 -Dnm1,ENSMUSG00000026825,3.344482 -Dnm1l,ENSMUSG00000022789,2.4216744022070453 -Dnm2,ENSMUSG00000033335,2.3533229233678132 -Dnm3,ENSMUSG00000040265,3.344482 -Dnmt1,ENSMUSG00000004099,1.6166550260581216 -Dnmt3a,ENSMUSG00000020661,3.043020656 -Dnmt3b,ENSMUSG00000027478,1.6765685230361755 -Dnmt3l,ENSMUSG00000000730,1.3597602893026681 -Dolk,ENSMUSG00000075419,1.422594981608011 -Dolpp1,ENSMUSG00000026856,1.2665598201264938 -Dot1l,ENSMUSG00000061589,2.013144033407828 -Dpagt1,ENSMUSG00000032123,1.4694526379587094 -Dpep1,ENSMUSG00000019278,3.344482 -Dpep2,ENSMUSG00000053687,2.347521717555567 -Dpep2,ENSMUSG00000115067,2.347521717555567 -Dpep2,ENSMUSG00000053687,3.344482 -Dpep2,ENSMUSG00000115067,3.344482 -Dpep3,ENSMUSG00000031898,2.282277430180172 -Dph5,ENSMUSG00000033554,1.4822042346040758 -Dpm1,ENSMUSG00000078919,2.0802950044432045 -Dpm2,ENSMUSG00000026810,1.6768648908752815 -Dpm3,ENSMUSG00000042737,2.203853263452995 -Dpyd,ENSMUSG00000033308,2.999785376607155 -Dpys,ENSMUSG00000022304,1.108461991578927 -Dpysl2,ENSMUSG00000022048,3.344482 -Dpysl3,ENSMUSG00000024501,3.344482 -Dse,ENSMUSG00000039497,2.0077917654279482 -Dtymk,ENSMUSG00000026281,1.8717968357710264 -Duox1,ENSMUSG00000033268,1.7140941753646346 -Duox2,ENSMUSG00000068452,3.141026183791631 -Dusp11,ENSMUSG00000030002,2.056039261257001 -Dut,ENSMUSG00000027203,2.0732206285367902 -Dzip3,ENSMUSG00000064061,2.200876944405823 -Ebp,ENSMUSG00000031168,1.8010544607834869 -Ech1,ENSMUSG00000053898,2.645645105344032 -Echdc2,ENSMUSG00000028601,1.9013089881974126 -Echs1,ENSMUSG00000025465,2.0864323801336977 -Eci1,ENSMUSG00000024132,2.149327260871877 -Eci2,ENSMUSG00000021417,2.0440852424014615 -Edem1,ENSMUSG00000030104,1.8064001126081888 -Edem2,ENSMUSG00000038312,1.7941374235531697 -Edem3,ENSMUSG00000043019,1.6381094415116741 -Eef1a1,ENSMUSG00000037742,3.344482 -Eef1a2,ENSMUSG00000016349,2.8466780710881574 -Eef2,ENSMUSG00000034994,3.344482 -Efl1,ENSMUSG00000038563,1.6964352311979392 -Egfbp2,ENSMUSG00000053719,0.842318 -Egfl8,ENSMUSG00000015467,2.411963199637949 -Egfr,ENSMUSG00000020122,3.344482 -Ehhadh,ENSMUSG00000022853,2.3415216075994043 -Ehmt1,ENSMUSG00000036893,2.5238541655939595 -Ehmt2,ENSMUSG00000013787,1.661226753580957 -Eif4ebp3,ENSMUSG00000090264,1.1095057244437743 -Elovl1,ENSMUSG00000006390,2.1835020489868384 -Elovl2,ENSMUSG00000021364,1.5067293271525621 -Elovl3,ENSMUSG00000038754,3.344482 -Elovl4,ENSMUSG00000032262,1.8534483792590233 -Elovl5,ENSMUSG00000032349,2.2007388317785685 -Elovl6,ENSMUSG00000041220,2.0034167053630507 -Elovl7,ENSMUSG00000021696,2.2334449244486536 -Elp3,ENSMUSG00000022031,1.4615835287449177 -Engase,ENSMUSG00000033857,1.3692469343358482 -Eno1,ENSMUSG00000063524,3.344482 -Eno1b,ENSMUSG00000059040,1.0233778483725946 -Eno2,ENSMUSG00000004267,3.344482 -Eno3,ENSMUSG00000060600,3.344482 -Enoph1,ENSMUSG00000029326,1.3181021010812353 -Enpp1,ENSMUSG00000037370,2.3547722256539445 -Enpp2,ENSMUSG00000022425,3.344482 -Enpp3,ENSMUSG00000019989,2.3227091943147524 -Enpp6,ENSMUSG00000038173,3.344482 -Enpp7,ENSMUSG00000046697,1.2744495443946167 -Entpd1,ENSMUSG00000048120,3.344482 -Entpd2,ENSMUSG00000015085,3.344482 -Entpd3,ENSMUSG00000041608,1.1215105489862593 -Entpd4,ENSMUSG00000095463,1.2823444897926828 -Entpd5,ENSMUSG00000021236,1.6184589282653163 -Entpd6,ENSMUSG00000033068,1.4287739837236846 -Entpd8,ENSMUSG00000036813,1.898736046177997 -Ep300,ENSMUSG00000055024,2.13237162 -Ephx1,ENSMUSG00000038776,2.777443380560246 -Ephx2,ENSMUSG00000022040,2.5884296468951637 -Eprs1,ENSMUSG00000026615,2.2158512140986604 -Epx,ENSMUSG00000052234,1.9332859492712373 -Ero1a,ENSMUSG00000021831,1.3693261722679784 -Ero1b,ENSMUSG00000057069,1.784057355408324 -Esco1,ENSMUSG00000024293,1.857452084 -Esco2,ENSMUSG00000022034,1.894194363786879 -Esd,ENSMUSG00000021996,2.563421742102147 -Etfa,ENSMUSG00000032314,2.3836366972759433 -Etfb,ENSMUSG00000004610,3.1190114712832537 -Etfdh,ENSMUSG00000027809,1.7012425482058027 -Etnk1,ENSMUSG00000030275,3.081468479552048 -Etnk2,ENSMUSG00000070644,1.3378320722520165 -Etnppl,ENSMUSG00000019232,3.344482 -Exoc2,ENSMUSG00000021357,1.7613382826860897 -Exoc3,ENSMUSG00000034152,1.9235092136953247 -Exoc4,ENSMUSG00000029763,3.344482 -Exoc5,ENSMUSG00000061244,2.046516013793274 -Exoc6b,ENSMUSG00000033769,3.344482 -Exoc7,ENSMUSG00000020792,1.6965306659667687 -Exoc8,ENSMUSG00000074030,1.270581171050572 -Ext1,ENSMUSG00000061731,3.344482 -Ext2,ENSMUSG00000027198,1.7741472567514132 -Extl1,ENSMUSG00000028838,1.0844553431068877 -Extl2,ENSMUSG00000027963,1.7134270790569157 -Extl3,ENSMUSG00000021978,2.0587680159686728 -Ezh1,ENSMUSG00000006920,1.8497622608947817 -Ezh2,ENSMUSG00000029687,2.5352285923136413 -F13a1,ENSMUSG00000039109,3.344482 -F13b,ENSMUSG00000026368,2.236443073953543 -F2,ENSMUSG00000027249,3.344482 -Faah,ENSMUSG00000034171,1.576152671611264 -Fabp1,ENSMUSG00000054422,3.344482 -Fabp12,ENSMUSG00000027530,3.344482 -Fabp2,ENSMUSG00000023057,3.344482 -Fabp3,ENSMUSG00000028773,2.639552013429348 -Fabp4,ENSMUSG00000062515,3.344482 -Fabp5,ENSMUSG00000027533,3.344482 -Fabp6,ENSMUSG00000020405,3.344482 -Fabp7,ENSMUSG00000019874,3.344482 -Fabp9,ENSMUSG00000027528,1.7341356553858327 -Fads1,ENSMUSG00000010663,1.6848284664529887 -Fads2,ENSMUSG00000024665,2.3873414120575562 -Fads3,ENSMUSG00000024664,1.470732687765871 -Fah,ENSMUSG00000030630,1.6885022336531201 -Fahd1,ENSMUSG00000045316,1.3269025054457193 -Fam20b,ENSMUSG00000033557,1.5210188277567276 -Fam227b,ENSMUSG00000027209,1.5456507041447476 -Fancl,ENSMUSG00000004018,1.502903537607811 -Far1,ENSMUSG00000030759,2.1982251793146617 -Far2,ENSMUSG00000030303,1.4684808809708403 -Farsa,ENSMUSG00000003808,1.726398499664983 -Farsb,ENSMUSG00000026245,1.6874656686025786 -Fasn,ENSMUSG00000025153,1.6443359174334713 -Faxdc2,ENSMUSG00000086962,1.2702136895568794 -Fbp1,ENSMUSG00000069805,3.344482 -Fbp2,ENSMUSG00000021456,2.401625827252717 -Fbxo2,ENSMUSG00000041556,1.795001355 -Fcsk,ENSMUSG00000033703,1.2954453766910874 -Fdft1,ENSMUSG00000021273,1.917203604658264 -Fdps,ENSMUSG00000059743,2.6003577463305994 -Fdxr,ENSMUSG00000018861,1.6551462240004604 -Fech,ENSMUSG00000024588,1.9201361748310546 -Fga,ENSMUSG00000028001,3.344482 -Fggy,ENSMUSG00000028573,2.1754456543403533 -Fh1,ENSMUSG00000026526,1.7949990154695559 -Fhit,ENSMUSG00000060579,3.344482 -Fig4,ENSMUSG00000038417,1.5423431820985227 -Fitm1,ENSMUSG00000022215,3.344482 -Fitm2,ENSMUSG00000048486,1.2731061055520692 -Fkbp10,ENSMUSG00000001555,2.1083245246778346 -Fkbp11,ENSMUSG00000003355,1.9459587360883006 -Fkbp14,ENSMUSG00000038074,1.5836262699425725 -Fkbp1a,ENSMUSG00000032966,3.344482 -Fkbp1b,ENSMUSG00000020635,1.4953048360534347 -Fkbp2,ENSMUSG00000056629,2.6081688700730097 -Fkbp3,ENSMUSG00000020949,3.326592766683953 -Fkbp4,ENSMUSG00000030357,2.8529078662631537 -Fkbp5,ENSMUSG00000024222,2.7697157093390876 -Fkbp6,ENSMUSG00000040013,2.2701748961693347 -Fkbp7,ENSMUSG00000002732,2.197173045587863 -Fkbp8,ENSMUSG00000019428,2.492141816303911 -Fkbp9,ENSMUSG00000029781,2.3106161531931604 -Flad1,ENSMUSG00000042642,1.4854895689571384 -Fmo1,ENSMUSG00000040181,3.344482 -Fmo2,ENSMUSG00000040170,3.344482 -Fmo3,ENSMUSG00000026691,3.007776986569663 -Fmo4,ENSMUSG00000026692,2.237153347055152 -Fmo5,ENSMUSG00000028088,2.934762889777698 -Fn3k,ENSMUSG00000025175,1.4452975075068673 -Fn3krp,ENSMUSG00000039253,1.3573246606238132 -Fnta,ENSMUSG00000015994,1.9213275506057517 -Fntb,ENSMUSG00000033373,1.9853757125535227 -Folr1,ENSMUSG00000001827,3.344482 -Folr2,ENSMUSG00000032725,3.317599676969459 -Fosl1,ENSMUSG00000024912,2.3460976279148196 -Fpgs,ENSMUSG00000009566,1.5308086714386473 -Fpgt,ENSMUSG00000053870,1.2352592838230907 -Ftcd,ENSMUSG00000001155,2.248490971952295 -Fth1,ENSMUSG00000024661,3.344482 -Ftmt,ENSMUSG00000024510,2.8015968334075296 -Fuca1,ENSMUSG00000028673,2.350834365690013 -Fuca2,ENSMUSG00000019810,1.6305060001372371 -Fut1,ENSMUSG00000008461,1.3590954163951414 -Fut10,ENSMUSG00000046152,1.8518046890028197 -Fut11,ENSMUSG00000039357,1.3369299462408535 -Fut2,ENSMUSG00000055978,1.3998969361248241 -Fut4,ENSMUSG00000049307,1.2345519647882603 -Fut7,ENSMUSG00000036587,1.6592964954251839 -Fut8,ENSMUSG00000021065,3.344482 -Fut9,ENSMUSG00000055373,3.344482 -Fxn,ENSMUSG00000059363,1.454808716072071 -Fxyd2,ENSMUSG00000059412,3.344482 -G6pc1,ENSMUSG00000078650,3.344482 -G6pc2,ENSMUSG00000005232,3.344482 -G6pc3,ENSMUSG00000034793,1.520416260289877 -G6pdx,ENSMUSG00000031400,1.7290919596418737 -Gaa,ENSMUSG00000025579,2.5737921402664767 -Gad1,ENSMUSG00000070880,3.344482 -Gad2,ENSMUSG00000026787,3.344482 -Gal3st1,ENSMUSG00000049721,2.0208032478308273 -Gal3st2,ENSMUSG00000094651,1.1230215754864166 -Gal3st2b,ENSMUSG00000093805,1.2397301203472246 -Gal3st2c,ENSMUSG00000073608,2.123557514 -Gal3st3,ENSMUSG00000047658,1.132752283693595 -Gal3st4,ENSMUSG00000075593,1.074711287832698 -Galc,ENSMUSG00000021003,1.5769907150118678 -Gale,ENSMUSG00000028671,1.1756714179097238 -Galk1,ENSMUSG00000020766,1.909101650300808 -Galk2,ENSMUSG00000027207,1.6234947570633573 -Galm,ENSMUSG00000035473,2.107310331272107 -Galns,ENSMUSG00000015027,1.4772897839530938 -Galnt1,ENSMUSG00000000420,2.227546256692306 -Galnt10,ENSMUSG00000020520,2.139957397643494 -Galnt11,ENSMUSG00000038072,1.9666440889445007 -Galnt12,ENSMUSG00000039774,1.5532233480828155 -Galnt13,ENSMUSG00000060988,3.344482 -Galnt14,ENSMUSG00000024064,2.5860452222052013 -Galnt15,ENSMUSG00000021903,3.344482 -Galnt16,ENSMUSG00000021130,2.001553004641813 -Galnt17,ENSMUSG00000034040,3.344482 -Galnt18,ENSMUSG00000038296,2.8180341043487442 -Galnt2,ENSMUSG00000089704,1.3193074043144373 -Galnt3,ENSMUSG00000026994,1.2939549188154418 -Galnt4,ENSMUSG00000090035,1.544450758696324 -Galnt5,ENSMUSG00000026828,2.0791041493457016 -Galnt6,ENSMUSG00000037280,2.978219914109694 -Galnt7,ENSMUSG00000031608,2.797305140890335 -Galnt9,ENSMUSG00000033316,2.2240970140878833 -Galntl6,ENSMUSG00000096914,3.344482 -Galt,ENSMUSG00000036073,1.580884792162879 -Gamt,ENSMUSG00000020150,2.266083445864923 -Ganab,ENSMUSG00000071650,1.6490722853519433 -Ganc,ENSMUSG00000062646,1.7754081341503403 -Gapdh,ENSMUSG00000057666,3.344482 -Gapdhs,ENSMUSG00000061099,1.4761678458610485 -Gars,ENSMUSG00000029777,1.858807876131798 -Gart,ENSMUSG00000022962,1.5793673831056492 -Gatm,ENSMUSG00000027199,3.344482 -Gba1,ENSMUSG00000028048,1.5547755959951215 -Gba2,ENSMUSG00000028467,1.410096130525863 -Gbe1,ENSMUSG00000022707,2.3582290760549514 -Gbf1,ENSMUSG00000025224,2.659498587515935 -Gbgt1,ENSMUSG00000026829,1.867066389 -Gc,ENSMUSG00000035540,3.344482 -Gcat,ENSMUSG00000006378,1.6209896105929609 -Gcat,ENSMUSG00000116378,1.6209896105929609 -Gcat,ENSMUSG00000006378,1.9862413765188487 -Gcat,ENSMUSG00000116378,1.9862413765188487 -Gcdh,ENSMUSG00000003809,1.5773191353642837 -Gch1,ENSMUSG00000037580,2.8710223497482943 -Gck,ENSMUSG00000041798,1.3856267104579116 -Gclc,ENSMUSG00000032350,1.837001199 -Gclm,ENSMUSG00000028124,2.1133189872190563 -Gcnt1,ENSMUSG00000038843,3.344482 -Gcnt2,ENSMUSG00000021360,2.3742399889846886 -Gcnt3,ENSMUSG00000032226,3.344482 -Gcnt4,ENSMUSG00000091387,0.9404357104598927 -Gcnt7,ENSMUSG00000074569,2.113348533196661 -Gcsh,ENSMUSG00000034424,1.6712406473954295 -Gda,ENSMUSG00000058624,3.344482 -Gde1,ENSMUSG00000033917,2.591910263133803 -Gdpd2,ENSMUSG00000019359,2.5975341086055392 -Get1,ENSMUSG00000023147,1.569816549 -Get3,ENSMUSG00000052456,1.4700684611837276 -Gfm1,ENSMUSG00000027774,1.3851295498632736 -Gfm2,ENSMUSG00000021666,1.657467937715495 -Gfpt1,ENSMUSG00000029992,1.8233878005064428 -Gfpt2,ENSMUSG00000020363,3.344482 -Gfus,ENSMUSG00000022570,1.4368484506251429 -Gga1,ENSMUSG00000033128,1.4822224104436297 -Gga2,ENSMUSG00000030872,1.5343264747788816 -Gga3,ENSMUSG00000020740,1.4177680252964493 -Ggact,ENSMUSG00000041625,3.344482 -Ggct,ENSMUSG00000002797,1.3470845740659039 -Ggh,ENSMUSG00000073987,1.953757409844547 -Ggps1,ENSMUSG00000021302,2.0115410091333485 -Ggt1,ENSMUSG00000006345,3.344482 -Ggt5,ENSMUSG00000006344,3.3094965477397817 -Ggt6,ENSMUSG00000040471,1.2607997582753463 -Ggt7,ENSMUSG00000027603,1.7169905332781996 -Ggta1,ENSMUSG00000035778,2.638175732626519 -Gk,ENSMUSG00000025059,2.674651119479517 -Gk2,ENSMUSG00000050553,1.083058521333679 -Gk5,ENSMUSG00000041440,1.585394900026752 -Gla,ENSMUSG00000031266,1.2593345178387332 -Glb1,ENSMUSG00000045594,1.5573292650316921 -Glb1l,ENSMUSG00000026200,1.7253087103172766 -Glce,ENSMUSG00000032252,1.7937640767476108 -Gldc,ENSMUSG00000024827,3.1104296445864814 -Gle1,ENSMUSG00000019715,1.8203309149526279 -Glo1,ENSMUSG00000024026,2.2604250011861438 -Glod4,ENSMUSG00000017286,1.7289172955796956 -Glrx,ENSMUSG00000021591,1.6611941848650162 -Glrx2,ENSMUSG00000018196,1.805936091503656 -Gls,ENSMUSG00000026103,3.344482 -Gls2,ENSMUSG00000044005,1.4608805692492823 -Glt6d1,ENSMUSG00000036401,1.0112516371789186 -Glt8d1,ENSMUSG00000021916,1.856726080545813 -Glt8d2,ENSMUSG00000020251,1.0981793306134793 -Gltp,ENSMUSG00000011884,2.8119348745663175 -Glud1,ENSMUSG00000021794,2.6261181184618714 -Glul,ENSMUSG00000026473,3.344482 -Glyat,ENSMUSG00000063683,3.344482 -Glyatl3,ENSMUSG00000091043,0.9283730579091448 -Glyctk,ENSMUSG00000020258,1.5964257204988401 -Gm10231,ENSMUSG00000068120,0.842318 -Gm13882,ENSMUSG00000081721,0.842318 -Gm2a,ENSMUSG00000000594,2.6665738904597682 -Gm3776,ENSMUSG00000111709,1.4409784570407573 -Gm4459,ENSMUSG00000083626,0.842318 -Gm5560,ENSMUSG00000067161,0.842318 -Gm5737,ENSMUSG00000109392,1.1942516286375466 -Gm6091,ENSMUSG00000074026,0.842318 -Gm6685,ENSMUSG00000032889,0.842318 -Gm6822,ENSMUSG00000061863,0.842318 -Gmds,ENSMUSG00000038372,2.513257731378796 -Gmppa,ENSMUSG00000033021,1.536953254967779 -Gmppb,ENSMUSG00000070284,1.267130949522671 -Gmpr,ENSMUSG00000000253,1.577145334351078 -Gmpr2,ENSMUSG00000002326,1.5589524963500245 -Gmps,ENSMUSG00000027823,1.9500913278780267 -Gne,ENSMUSG00000028479,1.420859539279743 -Gnmt,ENSMUSG00000002769,3.344482 -Gnpat,ENSMUSG00000031985,1.5920751451195425 -Gnpda1,ENSMUSG00000052102,1.5059129660486967 -Gnpda2,ENSMUSG00000029209,1.5449369688140155 -Gnpnat1,ENSMUSG00000037722,1.3163625720337182 -Gnptab,ENSMUSG00000035311,1.5921123350509854 -Gns,ENSMUSG00000034707,1.9425770186796314 -Gosr1,ENSMUSG00000010392,1.5245615863702664 -Got1,ENSMUSG00000025190,2.7119957558011194 -Got1l1,ENSMUSG00000039720,1.2969308684287832 -Got2,ENSMUSG00000031672,2.182743259071337 -Gpaa1,ENSMUSG00000022561,1.623293024237449 -Gpam,ENSMUSG00000024978,2.288146333295499 -Gpat2,ENSMUSG00000046338,1.3462657596629282 -Gpat3,ENSMUSG00000029314,1.902596147560085 -Gpat4,ENSMUSG00000031545,1.7283474111655945 -Gpcpd1,ENSMUSG00000027346,2.6941622214379777 -Gpd1,ENSMUSG00000023019,1.796317625339604 -Gpd1l,ENSMUSG00000050627,1.4194349015828929 -Gpd2,ENSMUSG00000026827,2.0197102853603996 -Gphn,ENSMUSG00000047454,3.344482 -Gpi1,ENSMUSG00000036427,3.344482 -Gpihbp1,ENSMUSG00000022579,3.344482 -Gpld1,ENSMUSG00000021340,2.376908882376687 -Gpt,ENSMUSG00000022546,1.7769106367108778 -Gpt2,ENSMUSG00000031700,1.6999270756300549 -Gpx1,ENSMUSG00000063856,3.344482 -Gpx2,ENSMUSG00000042808,3.344482 -Gpx3,ENSMUSG00000018339,3.344482 -Gpx4,ENSMUSG00000075706,3.344482 -Gpx5,ENSMUSG00000004344,1.1930459029562772 -Gpx6,ENSMUSG00000004341,3.344482 -Gpx7,ENSMUSG00000028597,1.7987867697373934 -Gpx8,ENSMUSG00000021760,2.530429942634369 -Grhpr,ENSMUSG00000035637,1.6901414884464325 -Grk1,ENSMUSG00000031450,3.344482 -Grk2,ENSMUSG00000024858,1.7322526380769439 -Grk3,ENSMUSG00000042249,2.2796505478492173 -Gsr,ENSMUSG00000031584,2.468063768035433 -Gss,ENSMUSG00000027610,1.8422806745555431 -Gsta1,ENSMUSG00000074183,1.8376077463805203 -Gsta2,ENSMUSG00000057933,3.344482 -Gsta5,ENSMUSG00000074179,0.842318 -Gstk1,ENSMUSG00000029864,1.9082643376008328 -Gstm2,ENSMUSG00000040562,3.339830751162688 -Gstm4,ENSMUSG00000027890,1.1613139610265644 -Gstm5,ENSMUSG00000004032,2.6698329087481234 -Gstm7,ENSMUSG00000004035,1.9751666462250936 -Gsto1,ENSMUSG00000025068,2.5373916719346874 -Gsto2,ENSMUSG00000025069,1.377804163062762 -Gstp1,ENSMUSG00000060803,3.001755973929735 -Gstp2,ENSMUSG00000038155,1.2241622848756064 -Gstt2,ENSMUSG00000033318,2.8446103571633286 -Gstz1,ENSMUSG00000021033,1.6921867146328995 -Gtf3c4,ENSMUSG00000035666,1.220237578385363 -Gucy1a1,ENSMUSG00000033910,2.7495397009912157 -Gucy1a2,ENSMUSG00000041624,2.603646146008029 -Gucy1b1,ENSMUSG00000028005,2.2147291453830316 -Gucy1b2,ENSMUSG00000021933,1.5663874043499224 -Gucy2c,ENSMUSG00000042638,1.2644632624073124 -Gucy2e,ENSMUSG00000020890,2.885551870126058 -Gucy2f,ENSMUSG00000042282,3.344482 -Guk1,ENSMUSG00000020444,2.760336701959847 -Gulo,ENSMUSG00000034450,0.915607412 -Gusb,ENSMUSG00000025534,1.8817202303630431 -Gyg1,ENSMUSG00000019528,1.944536803663365 -Gys1,ENSMUSG00000003865,1.7296625898491065 -Gys2,ENSMUSG00000030244,0.842318 -H6pd,ENSMUSG00000028980,1.7354008623523904 -Haao,ENSMUSG00000000673,2.9796256580761717 -Hacd1,ENSMUSG00000063275,1.8257213007865882 -Hacd2,ENSMUSG00000035376,2.6188225477496085 -Hacd3,ENSMUSG00000033629,2.195105036509113 -Hacd4,ENSMUSG00000028497,2.6556298317688736 -Hace1,ENSMUSG00000038822,1.9276210261193127 -Hacl1,ENSMUSG00000021884,1.9346271700712694 -Hadh,ENSMUSG00000027984,2.700724248957214 -Hadha,ENSMUSG00000025745,2.0967829846542703 -Hadhb,ENSMUSG00000059447,2.0894493545705366 -Hagh,ENSMUSG00000024158,2.2822578273789507 -Haghl,ENSMUSG00000061046,1.8566435102597114 -Hal,ENSMUSG00000020017,2.356899821027137 -Hao1,ENSMUSG00000027261,1.2897610403475988 -Hao2,ENSMUSG00000027870,3.344482 -Hars1,ENSMUSG00000001380,1.6709089520783742 -Has1,ENSMUSG00000003665,3.344482 -Has2,ENSMUSG00000022367,2.558569827539805 -Has3,ENSMUSG00000031910,1.3933634943824347 -Hat1,ENSMUSG00000027018,1.9212790656270549 -Hccs,ENSMUSG00000031352,1.4030893023570803 -Hcn1,ENSMUSG00000021730,3.344482 -Hcn4,ENSMUSG00000032338,1.3695784958008526 -Hcst,ENSMUSG00000064109,3.344482 -Hdc,ENSMUSG00000027360,3.344482 -Hdlbp,ENSMUSG00000034088,2.266554545708884 -Hectd1,ENSMUSG00000035247,2.3394296522432954 -Hectd2,ENSMUSG00000041180,1.5428082816675366 -Hectd3,ENSMUSG00000046861,1.3408609782702006 -Hecw1,ENSMUSG00000021301,3.344482 -Hecw2,ENSMUSG00000042807,3.344482 -Heph,ENSMUSG00000031209,3.344482 -Herc1,ENSMUSG00000038664,3.327674798139074 -Herc2,ENSMUSG00000030451,2.4335354440490438 -Herc3,ENSMUSG00000029804,2.6069073472771565 -Herc4,ENSMUSG00000020064,2.210887581778038 -Hexa,ENSMUSG00000025232,2.5936028840423693 -Hexb,ENSMUSG00000021665,3.344482 -Hexd,ENSMUSG00000039307,1.4593226678639732 -Hgd,ENSMUSG00000022821,3.344482 -Hgsnat,ENSMUSG00000037260,1.6200230468121484 -Hhat,ENSMUSG00000037375,1.522487410399768 -Hibadh,ENSMUSG00000029776,2.274282701138404 -Hibch,ENSMUSG00000041426,1.7218697856968908 -Hif1a,ENSMUSG00000021109,2.6090097302604685 -Hif1an,ENSMUSG00000036450,1.3650845915631253 -Higd2a,ENSMUSG00000025868,2.6038691053701477 -Hirip3,ENSMUSG00000042606,1.481100055667882 -Hk1,ENSMUSG00000037012,2.3858822813751592 -Hk2,ENSMUSG00000000628,3.344482 -Hk3,ENSMUSG00000025877,3.311573942315279 -Hkdc1,ENSMUSG00000020080,0.9486845900145265 -Hlcs,ENSMUSG00000040820,2.1766416285210717 -Hltf,ENSMUSG00000002428,1.8260073064000086 -Hmbs,ENSMUSG00000032126,2.0862636879275342 -Hmgcl,ENSMUSG00000028672,1.9959637418293712 -Hmgcll1,ENSMUSG00000007908,2.163716520286817 -Hmgcr,ENSMUSG00000021670,2.217077441701847 -Hmgcs1,ENSMUSG00000093930,3.2009062625688074 -Hmgcs2,ENSMUSG00000027875,3.344482 -Hmox1,ENSMUSG00000005413,3.344482 -Hmox2,ENSMUSG00000004070,1.945894791502807 -Hnmt,ENSMUSG00000026986,1.3775525425095867 -Hoga1,ENSMUSG00000025176,3.2341108824997384 -Hpd,ENSMUSG00000029445,3.344482 -Hpgd,ENSMUSG00000031613,3.344482 -Hpgds,ENSMUSG00000029919,3.344482 -Hprt1,ENSMUSG00000025630,2.556064383037753 -Hps3,ENSMUSG00000027615,1.7473932606576263 -Hpse,ENSMUSG00000035273,1.831484122958785 -Hpse2,ENSMUSG00000074852,1.9107391535182867 -Hs2st1,ENSMUSG00000040151,2.3994047971438994 -Hs3st1,ENSMUSG00000051022,2.2415036645270554 -Hs3st2,ENSMUSG00000046321,2.634332198358882 -Hs3st3a1,ENSMUSG00000047759,1.6800074731627213 -Hs3st3b1,ENSMUSG00000070407,2.232288180185415 -Hs3st4,ENSMUSG00000078591,3.344482 -Hs3st5,ENSMUSG00000044499,3.344482 -Hs3st6,ENSMUSG00000039628,1.2712962862791677 -Hs6st1,ENSMUSG00000045216,1.4557764710835082 -Hs6st2,ENSMUSG00000062184,2.2268118102518657 -Hs6st3,ENSMUSG00000053465,3.344482 -Hsd11b1,ENSMUSG00000016194,3.344482 -Hsd11b2,ENSMUSG00000031891,3.344482 -Hsd17b1,ENSMUSG00000019301,1.026483379972225 -Hsd17b10,ENSMUSG00000025260,2.0800996458643377 -Hsd17b11,ENSMUSG00000029311,1.8751714022282135 -Hsd17b12,ENSMUSG00000027195,2.210577465956071 -Hsd17b14,ENSMUSG00000030825,1.0121279122122637 -Hsd17b2,ENSMUSG00000031844,1.6240255547156566 -Hsd17b3,ENSMUSG00000033122,1.2762993685823993 -Hsd17b4,ENSMUSG00000024507,1.9381532318705115 -Hsd17b6,ENSMUSG00000025396,0.856255141 -Hsd17b7,ENSMUSG00000026675,1.3194745207229304 -Hsd17b8,ENSMUSG00000073422,1.6877590803055695 -Hsd3b1,ENSMUSG00000027871,2.401130800708398 -Hsd3b2,ENSMUSG00000063730,2.6434167734647804 -Hsd3b3,ENSMUSG00000062410,2.029518548881377 -Hsd3b4,ENSMUSG00000095143,3.344482 -Hsd3b6,ENSMUSG00000027869,1.667389807270379 -Hsd3b7,ENSMUSG00000042289,2.0263117907785886 -Hsd3b8,ENSMUSG00000095388,1.4703194646326507 -Hsd3b9,ENSMUSG00000090817,0.842318 -Hsp90b1,ENSMUSG00000020048,3.344482 -Hspa5,ENSMUSG00000026864,3.344482 -Htatip2,ENSMUSG00000039745,1.290597700214297 -Huwe1,ENSMUSG00000025261,2.8044780400948848 -Hyal1,ENSMUSG00000010051,1.7742319205947317 -Hyal2,ENSMUSG00000010047,1.8131488583745792 -Hyal3,ENSMUSG00000036091,1.3009590340462962 -Hyal4,ENSMUSG00000029680,1.2625497351193213 -Hyal5,ENSMUSG00000029678,1.0888398574208145 -Hyal6,ENSMUSG00000029679,1.5089059002296332 -Hyi,ENSMUSG00000006395,2.8778774683407153 -Hykk,ENSMUSG00000035878,2.449137734900371 -Hyou1,ENSMUSG00000032115,1.4080960507333198 -Iars1,ENSMUSG00000037851,1.5367196803547059 -Icmt,ENSMUSG00000039662,1.416303649729755 -Idh1,ENSMUSG00000025950,2.459554090346241 -Idh2,ENSMUSG00000030541,3.2768941839803576 -Idh3a,ENSMUSG00000032279,2.1372422885959708 -Idh3b,ENSMUSG00000027406,2.306200082992481 -Idh3g,ENSMUSG00000002010,2.3259675468758405 -Idi1,ENSMUSG00000058258,1.9007880163339588 -Idi2,ENSMUSG00000033520,1.5231215686404114 -Idnk,ENSMUSG00000050002,1.5816513247437214 -Ido1,ENSMUSG00000031551,2.324701656707251 -Ido2,ENSMUSG00000031549,1.140738683370394 -Ids,ENSMUSG00000035847,2.4162812100343425 -Idua,ENSMUSG00000033540,1.6892510643997263 -Il4i1b,ENSMUSG00000074141,1.8081912355544274 -Impa1,ENSMUSG00000027531,1.604755937998033 -Impa2,ENSMUSG00000024525,1.4213090179610501 -Impdh1,ENSMUSG00000003500,1.684108151659034 -Impdh2,ENSMUSG00000062867,2.2355786652122895 -Inmt,ENSMUSG00000003477,3.344482 -Inpp1,ENSMUSG00000026102,1.6498165521688521 -Inpp4a,ENSMUSG00000026113,2.5405075092865355 -Inpp4b,ENSMUSG00000037940,3.344482 -Inpp5a,ENSMUSG00000025477,2.0482249316786123 -Inpp5b,ENSMUSG00000028894,1.7099508549495526 -Inpp5d,ENSMUSG00000026288,3.344482 -Inpp5e,ENSMUSG00000026925,1.3180364523709698 -Inpp5f,ENSMUSG00000042105,2.278606002821213 -Inpp5j,ENSMUSG00000034570,1.5724918281926787 -Inpp5k,ENSMUSG00000006127,1.6990213334307773 -Inppl1,ENSMUSG00000032737,1.6121028120589758 -Ip6k1,ENSMUSG00000032594,1.9797511800122758 -Ip6k2,ENSMUSG00000032599,2.0001303759091233 -Ip6k3,ENSMUSG00000024210,2.9395152371419084 -Ipmk,ENSMUSG00000060733,1.5461101151892713 -Ippk,ENSMUSG00000021385,1.352274377926834 -Ireb2,ENSMUSG00000032293,1.8649327964209443 -Isyna1,ENSMUSG00000019139,2.306089726802939 -Itch,ENSMUSG00000027598,2.767355313490033 -Itpa,ENSMUSG00000074797,1.5777795754102337 -Itpk1,ENSMUSG00000057963,2.049920451178755 -Itpka,ENSMUSG00000027296,1.7105356413070243 -Itpkb,ENSMUSG00000038855,3.344482 -Itpkc,ENSMUSG00000003752,1.4454253797063685 -Ivd,ENSMUSG00000027332,1.9973809949840233 -Kansl3,ENSMUSG00000010453,1.7994893187829053 -Kars1,ENSMUSG00000031948,1.6174804481397658 -Kat2a,ENSMUSG00000020918,1.2342458884122771 -Kat2b,ENSMUSG00000000708,3.2182529828291204 -Kat5,ENSMUSG00000024926,1.3372762261504914 -Kat6a,ENSMUSG00000031540,2.1908134532502404 -Kat6b,ENSMUSG00000021767,2.4897129590679943 -Kat7,ENSMUSG00000038909,1.6368377585795322 -Kat8,ENSMUSG00000030801,1.4301528836190291 -Kcnj11,ENSMUSG00000096146,0.916963425 -Kcnj8,ENSMUSG00000030247,3.344482 -Kdsr,ENSMUSG00000009905,1.5660800390403156 -Khk,ENSMUSG00000029162,2.9957678088665283 -Kl,ENSMUSG00000058488,3.344482 -Klhl23,ENSMUSG00000042155,1.6016586900411234 -Klk1,ENSMUSG00000063903,3.344482 -Kmo,ENSMUSG00000039783,3.062662448301255 -Kmt2a,ENSMUSG00000002028,2.8508686412146846 -Kmt2b,ENSMUSG00000006307,1.580133418761919 -Kmt2c,ENSMUSG00000038056,3.048214659191409 -Kmt2d,ENSMUSG00000048154,1.8925894456357593 -Kmt5a,ENSMUSG00000049327,1.7916309020165098 -Kmt5b,ENSMUSG00000045098,2.2841450888900376 -Kmt5c,ENSMUSG00000059851,1.8310188704579604 -Kpna6,ENSMUSG00000003731,1.4755518112897177 -Krtap11-1,ENSMUSG00000091212,3.344482 -Kyat1,ENSMUSG00000039648,2.073190552247557 -Kyat3,ENSMUSG00000040213,1.7196398917453062 -Kynu,ENSMUSG00000026866,2.459877904357479 -L2hgdh,ENSMUSG00000020988,1.3382152445425657 -Lalba,ENSMUSG00000022991,2.061287607505199 -Lap3,ENSMUSG00000039682,2.1270426642907942 -Lars1,ENSMUSG00000024493,1.8873141201812265 -Lbr,ENSMUSG00000004880,2.2528155914580816 -Lcat,ENSMUSG00000035237,3.1804303226431716 -Lclat1,ENSMUSG00000054469,1.6525593624379282 -Lct,ENSMUSG00000026354,1.819131182135254 -Ldha,ENSMUSG00000063229,3.344482 -Ldhal6b,ENSMUSG00000101959,1.4629649859800185 -Ldhb,ENSMUSG00000030246,3.344482 -Ldhc,ENSMUSG00000030851,1.2455086512488365 -Ldhd,ENSMUSG00000031958,1.7361551280239322 -Ldlr,ENSMUSG00000032193,2.1497262745117816 -Lenep,ENSMUSG00000078173,0.842318 -Lgmn,ENSMUSG00000021190,3.344482 -Lgsn,ENSMUSG00000050217,1.4513289057021002 -Lhpp,ENSMUSG00000030946,1.2268974253464888 -Lias,ENSMUSG00000029199,1.5513292916298218 -Lipa,ENSMUSG00000024781,2.0382632649450256 -Lipc,ENSMUSG00000032207,1.823896285992875 -Lipe,ENSMUSG00000003123,2.198387297468544 -Lipf,ENSMUSG00000024768,3.344482 -Lipg,ENSMUSG00000053846,1.0850547236709587 -Lipt1,ENSMUSG00000037216,0.9665480970259587 -Lipt2,ENSMUSG00000030725,1.017938966373994 -Lman1l,ENSMUSG00000056271,1.1448945477007095 -Lman2,ENSMUSG00000021484,1.877741160364777 -Lox,ENSMUSG00000024529,3.344482 -Loxl2,ENSMUSG00000034205,2.4531192496893457 -Lpcat1,ENSMUSG00000021608,1.7408166079703284 -Lpcat2,ENSMUSG00000033192,3.344482 -Lpcat3,ENSMUSG00000004270,2.042200888 -Lpcat4,ENSMUSG00000027134,1.203619863701512 -Lpgat1,ENSMUSG00000026623,3.0978749332867657 -Lpin1,ENSMUSG00000020593,2.0299585357107706 -Lpin2,ENSMUSG00000024052,2.140716826729022 -Lpin3,ENSMUSG00000027412,2.0039811550575233 -Lpl,ENSMUSG00000015568,3.344482 -Lpo,ENSMUSG00000009356,1.7229432876527526 -Lrat,ENSMUSG00000028003,2.9216056310526755 -Lrp2,ENSMUSG00000027070,3.344482 -Lrsam1,ENSMUSG00000026792,1.3642096649956148 -Lss,ENSMUSG00000033105,1.4272254617166342 -Lta4h,ENSMUSG00000015889,1.8351812309131754 -Ltc4s,ENSMUSG00000020377,3.344482 -Lypla1,ENSMUSG00000025903,1.8130260165993244 -Lypla2,ENSMUSG00000028670,1.5438475202579574 -Lyzl1,ENSMUSG00000024233,1.2139369888545488 -Macrod1,ENSMUSG00000036278,2.350778069280082 -Macrod2,ENSMUSG00000068205,3.344482 -Man1a,ENSMUSG00000003746,3.344482 -Man1a2,ENSMUSG00000008763,2.4940737403217983 -Man1b1,ENSMUSG00000036646,1.5355373337177265 -Man1c1,ENSMUSG00000037306,2.7126852764806495 -Man2a1,ENSMUSG00000024085,2.418570178186228 -Man2a2,ENSMUSG00000038886,2.038024148765371 -Man2b1,ENSMUSG00000005142,2.3109676697029404 -Man2b2,ENSMUSG00000029119,1.5230779260471974 -Man2c1,ENSMUSG00000032295,1.4104555026399155 -Manba,ENSMUSG00000028164,2.147913347712945 -Mansc1,ENSMUSG00000032718,1.0815787006091342 -Maoa,ENSMUSG00000025037,1.7073805922767937 -Maob,ENSMUSG00000040147,1.7459283211833072 -Marchf1,ENSMUSG00000036469,3.344482 -Marchf10,ENSMUSG00000078627,0.842318 -Marchf11,ENSMUSG00000022269,1.8201985698623444 -Marchf2,ENSMUSG00000079557,2.237333618200664 -Marchf3,ENSMUSG00000032656,3.344482 -Marchf4,ENSMUSG00000039372,1.3030683976896895 -Marchf5,ENSMUSG00000023307,1.9341064534643675 -Marchf6,ENSMUSG00000039100,2.5738619051180582 -Marchf7,ENSMUSG00000026977,2.187024633497375 -Marchf8,ENSMUSG00000025702,1.8676766315640125 -Marchf9,ENSMUSG00000040502,1.2894306314341473 -Mars1,ENSMUSG00000040354,1.4785505267514123 -Mars2,ENSMUSG00000046994,1.1494005967910899 -Mat1a,ENSMUSG00000037798,1.9724928131135009 -Mat2a,ENSMUSG00000053907,3.232388857272524 -Mat2b,ENSMUSG00000042032,2.0519545227938463 -Mboat1,ENSMUSG00000038732,2.2673677245002946 -Mboat2,ENSMUSG00000020646,1.9095448527332062 -Mboat4,ENSMUSG00000071113,0.842318 -Mboat7,ENSMUSG00000035596,1.6608665026337208 -Mcat,ENSMUSG00000048755,1.1738575566967067 -Mccc1,ENSMUSG00000027709,1.6862407360453702 -Mccc2,ENSMUSG00000021646,1.7092103368364333 -Mcee,ENSMUSG00000033429,1.7365135415205242 -Mdh1,ENSMUSG00000020321,3.344482 -Mdh1b,ENSMUSG00000025963,1.0600896721889825 -Mdh2,ENSMUSG00000019179,3.344482 -Mdm2,ENSMUSG00000020184,1.7811432616043867 -Mdp1,ENSMUSG00000002329,1.5562404254635827 -Me1,ENSMUSG00000032418,1.8703916008653663 -Me2,ENSMUSG00000024556,1.556944083430213 -Me3,ENSMUSG00000030621,3.344482 -Mecr,ENSMUSG00000028910,1.6193389036958281 -Mettl1,ENSMUSG00000006732,1.4195735635769282 -Mettl3,ENSMUSG00000022160,1.5572072792117153 -Mgam,ENSMUSG00000068587,2.3881643855692887 -Mgat1,ENSMUSG00000020346,1.6281070570712621 -Mgat2,ENSMUSG00000043998,1.6094589182821866 -Mgat3,ENSMUSG00000042428,1.7840523637100307 -Mgat4a,ENSMUSG00000026110,1.801930522533503 -Mgat4b,ENSMUSG00000036620,1.8141630916336895 -Mgat4c,ENSMUSG00000019888,3.344482 -Mgat5,ENSMUSG00000036155,2.755135892476252 -Mgat5b,ENSMUSG00000043857,1.4694974913475614 -Mgll,ENSMUSG00000033174,3.344482 -Mgmt,ENSMUSG00000054612,2.0166565230365476 -Mgrn1,ENSMUSG00000022517,1.9251177916813709 -Mgst1,ENSMUSG00000008540,3.344482 -Mgst2,ENSMUSG00000074604,2.235134850693103 -Mgst3,ENSMUSG00000026688,2.6431203485936883 -Mia3,ENSMUSG00000056050,1.9944480700301954 -Mib1,ENSMUSG00000024294,2.2508137525423426 -Mib2,ENSMUSG00000029060,1.4433080982878908 -Mid1,ENSMUSG00000035299,2.5853370680149044 -Mif,ENSMUSG00000033307,3.344482 -Minpp1,ENSMUSG00000024896,1.5753204578482156 -Miox,ENSMUSG00000022613,3.344482 -Mkrn1,ENSMUSG00000029922,2.2957428887527134 -Mkrn2,ENSMUSG00000000439,1.3265329765198703 -Mkrn3,ENSMUSG00000070527,1.6014418580290233 -Mlycd,ENSMUSG00000074064,1.4503285991824038 -Mmaa,ENSMUSG00000037022,1.4856695169297218 -Mmab,ENSMUSG00000029575,1.2003139286409275 -Mmut,ENSMUSG00000023921,1.5908019333133863 -Mocs1,ENSMUSG00000064120,1.6235768358544083 -Mocs2,ENSMUSG00000015536,1.8395521322110284 -Mogat1,ENSMUSG00000012187,1.9415785180537357 -Mogat2,ENSMUSG00000052396,1.2380501672376867 -Mogs,ENSMUSG00000030036,1.3077006049667157 -Moxd1,ENSMUSG00000020000,2.2063617567342315 -Mpc1,ENSMUSG00000023861,3.0794185128883136 -Mpc2,ENSMUSG00000026568,2.8999226055974554 -Mpi,ENSMUSG00000032306,1.2911308634772285 -Mpo,ENSMUSG00000009350,3.344482 -Mpst,ENSMUSG00000071711,1.711759932635098 -Mri1,ENSMUSG00000004996,1.6053297695370035 -Mrpl58,ENSMUSG00000018858,1.8907570934608986 -Msmo1,ENSMUSG00000031604,2.4521408508517024 -Msra,ENSMUSG00000054733,3.344482 -mt-Atp6,ENSMUSG00000064357,3.344482 -mt-Atp8,ENSMUSG00000064356,3.344482 -mt-Co1,ENSMUSG00000064351,3.344482 -mt-Co2,ENSMUSG00000064354,3.344482 -mt-Co3,ENSMUSG00000064358,3.344482 -Mtap,ENSMUSG00000062937,1.5169770703934482 -Mtfmt,ENSMUSG00000059183,1.2673956805364006 -Mthfd1,ENSMUSG00000021048,1.5874723704927756 -Mthfd1l,ENSMUSG00000040675,2.079277215827649 -Mthfd2,ENSMUSG00000005667,1.6599549934895268 -Mthfd2l,ENSMUSG00000029376,1.5834876571943335 -Mthfr,ENSMUSG00000029009,1.3673786652462163 -Mthfs,ENSMUSG00000066442,1.7504070449873255 -Mthfsl,ENSMUSG00000079427,1.4024095672167856 -Mtm1,ENSMUSG00000031337,2.041814703247753 -Mtmr1,ENSMUSG00000015214,1.8013538771983262 -Mtmr12,ENSMUSG00000039458,1.8835541265256739 -Mtmr14,ENSMUSG00000030269,1.6281987486109408 -Mtmr2,ENSMUSG00000031918,1.6510063359220228 -Mtmr3,ENSMUSG00000034354,2.4779736848781573 -Mtmr6,ENSMUSG00000021987,1.8547560870871516 -Mtmr7,ENSMUSG00000039431,1.638187749522103 -Mtpap,ENSMUSG00000024234,1.5250949196578691 -Mtr,ENSMUSG00000021311,1.5898120805687859 -Mtrex,ENSMUSG00000016018,1.7086837119244362 -Mtrr,ENSMUSG00000034617,1.2249408092983722 -Mul1,ENSMUSG00000041241,1.322262181537446 -Mvd,ENSMUSG00000006517,1.4855653383491518 -Mvk,ENSMUSG00000041939,1.425705228403138 -Mycbp2,ENSMUSG00000033004,3.344482 -Mylip,ENSMUSG00000038175,3.344482 -Mylk,ENSMUSG00000022836,3.0810072613704045 -Mylk2,ENSMUSG00000027470,3.344482 -Mylk3,ENSMUSG00000031698,1.7482437501108778 -Mylk4,ENSMUSG00000044951,3.344482 -Myo5b,ENSMUSG00000025885,1.8810778030451618 -Naa10,ENSMUSG00000031388,1.759877754 -Naa11,ENSMUSG00000046000,1.116411643226504 -Naa15,ENSMUSG00000063273,2.0860849479200807 -Naa20,ENSMUSG00000002728,2.008634055096536 -Naa30,ENSMUSG00000036282,1.3362878002892065 -Naa40,ENSMUSG00000024764,1.6206326255256767 -Naa50,ENSMUSG00000022698,1.9500116940110115 -Naa60,ENSMUSG00000005982,1.6811862548559076 -Naa80,ENSMUSG00000079334,1.299093205143128 -Naaa,ENSMUSG00000029413,2.102964655060483 -Nadk,ENSMUSG00000029063,1.8819033982513842 -Nadk2,ENSMUSG00000022253,1.8932773837376922 -Nadsyn1,ENSMUSG00000031090,1.5498448421433868 -Nae1,ENSMUSG00000031878,1.946462212102799 -Naga,ENSMUSG00000022453,1.6685050946392443 -Nagk,ENSMUSG00000034744,1.7599567421815614 -Naglu,ENSMUSG00000001751,1.6290338307753534 -Nagpa,ENSMUSG00000023143,1.6176094275750155 -Nags,ENSMUSG00000048217,1.1891761525305713 -Nalcn,ENSMUSG00000000197,3.124430453965136 -Nampt,ENSMUSG00000020572,1.7735857973250868 -Nanp,ENSMUSG00000053916,1.1017136155165084 -Nans,ENSMUSG00000028334,1.6328982239251932 -Napa,ENSMUSG00000006024,2.4362011586899195 -Naprt,ENSMUSG00000022574,2.084950626851731 -Nars1,ENSMUSG00000024587,2.4014348806493904 -Nat1,ENSMUSG00000025588,1.9418629696013714 -Nat10,ENSMUSG00000027185,1.3093715858328165 -Nat14,ENSMUSG00000035285,1.611960178122813 -Nat2,ENSMUSG00000051147,1.7104438865345324 -Nat8,ENSMUSG00000030004,3.344482 -Nat8l,ENSMUSG00000048142,2.1344128602333816 -Nat9,ENSMUSG00000015542,1.320506426 -Ncoa1,ENSMUSG00000020647,3.344482 -Ncoa3,ENSMUSG00000027678,2.299245427838266 -Nd1,ENSMUSG00000064341,3.344482 -Nd2,ENSMUSG00000064345,3.344482 -Nd3,ENSMUSG00000064360,3.344482 -Nd4,ENSMUSG00000064363,3.344482 -Nd4l,ENSMUSG00000065947,3.344482 -Nd5,ENSMUSG00000064367,3.344482 -Nd6,ENSMUSG00000064368,3.344482 -Ndc1,ENSMUSG00000028614,1.3326987234811103 -Ndst1,ENSMUSG00000054008,1.5310736073855387 -Ndst2,ENSMUSG00000039308,1.480573739927988 -Ndst3,ENSMUSG00000027977,3.344482 -Ndst4,ENSMUSG00000027971,2.6928268917083744 -Ndufa1,ENSMUSG00000016427,3.097121973360066 -Ndufa10,ENSMUSG00000026260,2.548332549705327 -Ndufa11,ENSMUSG00000002379,3.2498659470067577 -Ndufa12,ENSMUSG00000020022,2.7926876548961697 -Ndufa13,ENSMUSG00000036199,3.344482 -Ndufa2,ENSMUSG00000014294,3.344482 -Ndufa3,ENSMUSG00000035674,3.344482 -Ndufa4,ENSMUSG00000029632,3.344482 -Ndufa5,ENSMUSG00000023089,3.318185418062353 -Ndufa6,ENSMUSG00000022450,3.344482 -Ndufa7,ENSMUSG00000041881,3.344482 -Ndufa8,ENSMUSG00000026895,2.698279637 -Ndufa9,ENSMUSG00000000399,2.121433375130678 -Ndufab1,ENSMUSG00000030869,3.153727850350043 -Ndufb1,ENSMUSG00000113902,3.344482 -Ndufb10,ENSMUSG00000040048,3.1919375556136353 -Ndufb11,ENSMUSG00000031059,3.344482 -Ndufb2,ENSMUSG00000002416,2.9506562131209253 -Ndufb3,ENSMUSG00000026032,2.6790162809592015 -Ndufb4,ENSMUSG00000022820,2.8343396070479425 -Ndufb5,ENSMUSG00000027673,3.2946462317260585 -Ndufb6,ENSMUSG00000071014,2.6611400016993496 -Ndufb7,ENSMUSG00000033938,3.127678841050384 -Ndufb8,ENSMUSG00000025204,3.344482 -Ndufb9,ENSMUSG00000022354,3.344482 -Ndufc1,ENSMUSG00000037152,3.344482 -Ndufc2,ENSMUSG00000030647,3.344482 -Ndufs1,ENSMUSG00000025968,2.1913800182022225 -Ndufs2,ENSMUSG00000013593,2.682925900362596 -Ndufs3,ENSMUSG00000005510,2.3006223723947974 -Ndufs4,ENSMUSG00000021764,2.766285806 -Ndufs5,ENSMUSG00000028648,3.237778190781628 -Ndufs6,ENSMUSG00000021606,2.9848080614944683 -Ndufs7,ENSMUSG00000020153,2.8691294775020633 -Ndufs8,ENSMUSG00000059734,2.387631940951791 -Ndufv1,ENSMUSG00000037916,2.262857982637843 -Ndufv2,ENSMUSG00000024099,2.8269377527394934 -Ndufv3,ENSMUSG00000024038,3.133071244 -Nedd4,ENSMUSG00000032216,3.344482 -Nedd4l,ENSMUSG00000024589,3.344482 -Neu1,ENSMUSG00000007038,1.8359574362420177 -Neu2,ENSMUSG00000079434,1.0691208567002846 -Neu3,ENSMUSG00000035239,1.2641462836540651 -Neu4,ENSMUSG00000034000,3.344482 -Neurl1a,ENSMUSG00000006435,2.013961798559157 -Neurl1b,ENSMUSG00000034413,1.0695855253969382 -Ngly1,ENSMUSG00000021785,1.710851796176069 -Nhlrc1,ENSMUSG00000044231,1.1204169707451122 -Nit2,ENSMUSG00000022751,1.6030296052417499 -Nktr,ENSMUSG00000032525,3.227685831156642 -Nln,ENSMUSG00000021710,1.5524982067900401 -Nme1,ENSMUSG00000037601,3.344482 -Nme2,ENSMUSG00000020857,3.344482 -Nme3,ENSMUSG00000073435,1.485713805655827 -Nme4,ENSMUSG00000024177,1.5257835531745103 -Nme6,ENSMUSG00000032478,1.434191263337312 -Nme7,ENSMUSG00000026575,1.6788507016177856 -Nmnat1,ENSMUSG00000028992,1.4360814261326507 -Nmnat2,ENSMUSG00000042751,3.344482 -Nmnat3,ENSMUSG00000032456,2.6632209833539195 -Nmrk1,ENSMUSG00000037847,1.719067841228829 -Nmrk2,ENSMUSG00000004939,3.344482 -Nmt1,ENSMUSG00000020936,2.1644972644496123 -Nmt2,ENSMUSG00000026643,2.390446360644367 -Nnmt,ENSMUSG00000032271,2.2919585504665534 -Nnt,ENSMUSG00000025453,2.5688723081377134 -Nnt,ENSMUSG00000116207,2.5688723081377134 -Nnt,ENSMUSG00000025453,2.1269382804918826 -Nnt,ENSMUSG00000116207,2.1269382804918826 -Nol9,ENSMUSG00000028948,1.342659934013132 -Nos1,ENSMUSG00000029361,2.523038324704775 -Nos2,ENSMUSG00000020826,2.302910372761703 -Nos3,ENSMUSG00000028978,2.040501035272696 -Npc1,ENSMUSG00000024413,1.9184588839059533 -Npc1l1,ENSMUSG00000020447,1.1398609242317184 -Npepps,ENSMUSG00000001441,2.932384565887921 -Npl,ENSMUSG00000042684,1.7399835648064401 -Nploc4,ENSMUSG00000039703,1.6722294489405842 -Npr1,ENSMUSG00000027931,2.615929338727577 -Npr2,ENSMUSG00000028469,1.561312837062568 -Nqo1,ENSMUSG00000003849,1.8455244418425147 -Nqo2,ENSMUSG00000046949,1.6340479147669504 -Nrf1,ENSMUSG00000058440,2.2997785753244195 -Nsd1,ENSMUSG00000021488,3.344482 -Nsd2,ENSMUSG00000057406,2.519382799585088 -Nsd3,ENSMUSG00000054823,3.1137220181204204 -Nsdhl,ENSMUSG00000031349,1.5454198033565305 -Nsf,ENSMUSG00000034187,3.344482 -Nt5c,ENSMUSG00000020736,1.7944070162823185 -Nt5c1a,ENSMUSG00000054958,1.0854302695695905 -Nt5c1b,ENSMUSG00000020622,1.5293722124746094 -Nt5c2,ENSMUSG00000025041,2.2489145036657914 -Nt5c3,ENSMUSG00000029780,1.8721335482571897 -Nt5c3b,ENSMUSG00000017176,1.4503999404161412 -Nt5dc3,ENSMUSG00000054027,1.7225040309606325 -Nt5e,ENSMUSG00000032420,2.1161513834697363 -Nt5m,ENSMUSG00000032615,1.4524656575315797 -Ntan1,ENSMUSG00000022681,2.1266593935332385 -Ntaq1,ENSMUSG00000022359,1.3854890798026351 -Ntpcr,ENSMUSG00000031851,1.3973530417736033 -Nudt10,ENSMUSG00000073293,1.1701210759506377 -Nudt11,ENSMUSG00000073295,1.272465500343215 -Nudt12,ENSMUSG00000024228,1.1854512950539595 -Nudt14,ENSMUSG00000002804,2.0612828934481198 -Nudt2,ENSMUSG00000028443,1.330184504099638 -Nudt3,ENSMUSG00000024213,2.4661419957545325 -Nudt4,ENSMUSG00000020029,2.8253313575295658 -Nudt5,ENSMUSG00000025817,1.7984183061814303 -Nudt9,ENSMUSG00000029310,1.628530577284993 -Nup107,ENSMUSG00000052798,1.4095070271127168 -Nup133,ENSMUSG00000039509,1.3689654315816928 -Nup153,ENSMUSG00000021374,1.599932693146042 -Nup155,ENSMUSG00000022142,1.496509382676385 -Nup160,ENSMUSG00000051329,1.7550693630122953 -Nup188,ENSMUSG00000052533,1.415475634619132 -Nup205,ENSMUSG00000038759,1.5880866239010445 -Nup210,ENSMUSG00000030091,1.4618297876673705 -Nup210l,ENSMUSG00000027939,1.3031933717113247 -Nup214,ENSMUSG00000001855,1.7213884716694259 -Nup35,ENSMUSG00000026999,1.387200901733506 -Nup37,ENSMUSG00000035351,1.344546040012146 -Nup43,ENSMUSG00000040034,1.4779766333828737 -Nup50,ENSMUSG00000016619,1.4739851466633704 -Nup54,ENSMUSG00000034826,1.4890524208955294 -Nup58,ENSMUSG00000063895,1.8093327108000776 -Nup62,ENSMUSG00000109511,1.53223296 -Nup62cl,ENSMUSG00000072944,1.4633383743531527 -Nup85,ENSMUSG00000020739,1.5720391151950313 -Nup88,ENSMUSG00000040667,1.6139561309343697 -Nup93,ENSMUSG00000032939,1.6112941567840866 -Nup98,ENSMUSG00000063550,2.0429640442711863 -Nupl2,ENSMUSG00000048439,1.3846472533147232 -Oard1,ENSMUSG00000040771,1.591586454347151 -Oat,ENSMUSG00000030934,2.891888990747943 -Oca2,ENSMUSG00000030450,1.2575366529626506 -Ocrl,ENSMUSG00000001173,2.0220975509091077 -Odc1,ENSMUSG00000011179,2.4359772515055678 -Oga,ENSMUSG00000025220,2.414054256839775 -Ogdh,ENSMUSG00000020456,2.4657684932685893 -Ogt,ENSMUSG00000034160,3.344482 -Olah,ENSMUSG00000026645,1.1708335134432764 -Oplah,ENSMUSG00000022562,1.6084326824579385 -Os9,ENSMUSG00000040462,2.0149582271343944 -Otc,ENSMUSG00000031173,2.6771664844283034 -Otub1,ENSMUSG00000024767,2.3308670579438218 -Otud5,ENSMUSG00000031154,1.5648252030379317 -Oxct1,ENSMUSG00000022186,3.344482 -Oxct2a,ENSMUSG00000076436,0.842318 -Oxct2b,ENSMUSG00000076438,0.842318 -Oxsm,ENSMUSG00000021786,1.1500598427691442 -P4ha1,ENSMUSG00000019916,2.153092020591323 -P4ha2,ENSMUSG00000018906,1.6354656371664609 -P4ha3,ENSMUSG00000051048,1.3168209432944755 -P4hb,ENSMUSG00000025130,2.739102882081756 -Padi1,ENSMUSG00000025329,1.9435234404838029 -Padi2,ENSMUSG00000028927,2.3149437350575375 -Padi3,ENSMUSG00000025328,0.9021065390387247 -Padi4,ENSMUSG00000025330,2.7345661048355625 -Padi6,ENSMUSG00000040935,0.842318 -Pafah1b1,ENSMUSG00000020745,3.344482 -Pafah1b2,ENSMUSG00000003131,2.2457004843095967 -Pafah1b3,ENSMUSG00000005447,2.7665199633401634 -Pafah2,ENSMUSG00000037366,1.473708247463042 -Pah,ENSMUSG00000020051,3.344482 -Paics,ENSMUSG00000029247,2.1703318703441905 -Pam,ENSMUSG00000026335,3.344482 -Pank1,ENSMUSG00000033610,1.701161662430427 -Pank2,ENSMUSG00000037514,1.7917475951675914 -Pank3,ENSMUSG00000018846,1.6693872208527465 -Pank4,ENSMUSG00000029056,1.5321162217174387 -Paox,ENSMUSG00000025464,1.1364014978888939 -Papola,ENSMUSG00000021111,2.6876727595076098 -Papolb,ENSMUSG00000074817,1.3963899132564261 -Papolg,ENSMUSG00000020273,1.4613812551898522 -Papss1,ENSMUSG00000028032,1.8163968794891943 -Papss2,ENSMUSG00000024899,2.8139691959054844 -Parp1,ENSMUSG00000026496,1.7027992399946967 -Parp10,ENSMUSG00000063268,2.0129249991015374 -Parp11,ENSMUSG00000037997,1.5041494135428297 -Parp12,ENSMUSG00000038507,1.8846866380537453 -Parp14,ENSMUSG00000034422,3.121450984 -Parp16,ENSMUSG00000032392,1.6462849075619712 -Parp2,ENSMUSG00000036023,1.616934500621216 -Parp3,ENSMUSG00000023249,2.488912469120655 -Parp4,ENSMUSG00000054509,2.442124719348311 -Parp6,ENSMUSG00000025237,1.8041439395424295 -Parp8,ENSMUSG00000021725,2.2700998394427137 -Parp9,ENSMUSG00000022906,2.224227394701777 -Pcbd1,ENSMUSG00000020098,2.6973723154857483 -Pcbd2,ENSMUSG00000021496,1.7144756357526385 -Pcca,ENSMUSG00000041650,3.344482 -Pccb,ENSMUSG00000032527,1.670607527126404 -Pck1,ENSMUSG00000027513,3.344482 -Pck2,ENSMUSG00000040618,1.5116031745886305 -Pcmt1,ENSMUSG00000019795,2.6686195354116866 -Pctp,ENSMUSG00000020553,1.6110718580058097 -Pcx,ENSMUSG00000024892,2.5059436659362135 -Pcyox1,ENSMUSG00000029998,1.5778628368464185 -Pcyt1a,ENSMUSG00000005615,1.7106513081427595 -Pcyt1b,ENSMUSG00000035246,1.421250719074222 -Pcyt2,ENSMUSG00000025137,2.2401508923595794 -Pde10a,ENSMUSG00000023868,3.344482 -Pde11a,ENSMUSG00000075270,3.344482 -Pde1a,ENSMUSG00000059173,3.344482 -Pde1b,ENSMUSG00000022489,1.4433558378799405 -Pde1c,ENSMUSG00000004347,3.344482 -Pde2a,ENSMUSG00000110195,2.2158646882993907 -Pde3a,ENSMUSG00000041741,3.344482 -Pde3b,ENSMUSG00000030671,3.344482 -Pde4a,ENSMUSG00000032177,2.124856791100265 -Pde4b,ENSMUSG00000028525,3.344482 -Pde4c,ENSMUSG00000031842,2.9014270805182316 -Pde4d,ENSMUSG00000021699,3.344482 -Pde5a,ENSMUSG00000053965,2.1769884813626694 -Pde6a,ENSMUSG00000024575,3.344482 -Pde6b,ENSMUSG00000029491,3.344482 -Pde6c,ENSMUSG00000024992,3.344482 -Pde6d,ENSMUSG00000026239,1.8402562615793787 -Pde6g,ENSMUSG00000025386,3.344482 -Pde6h,ENSMUSG00000064330,3.344482 -Pde7a,ENSMUSG00000069094,2.2542210291921756 -Pde7b,ENSMUSG00000019990,3.344482 -Pde8a,ENSMUSG00000025584,3.344482 -Pde8b,ENSMUSG00000021684,2.9102519476827333 -Pde9a,ENSMUSG00000041119,2.0685012320833205 -Pdf,ENSMUSG00000078931,1.2499286514179149 -Pdha1,ENSMUSG00000031299,1.9963380827235713 -Pdha2,ENSMUSG00000047674,0.842318 -Pdhb,ENSMUSG00000021748,2.121623580661967 -Pdhx,ENSMUSG00000010914,1.5213513426914231 -Pdia3,ENSMUSG00000027248,3.344482 -Pdia4,ENSMUSG00000025823,2.17414794 -Pdia5,ENSMUSG00000022844,1.5828581659002463 -Pdia6,ENSMUSG00000020571,3.239689213055428 -Pdk1,ENSMUSG00000006494,1.4925968326042602 -Pdk2,ENSMUSG00000038967,1.7814198996515445 -Pdk3,ENSMUSG00000035232,1.4415763637661723 -Pdk4,ENSMUSG00000019577,3.0057559280261956 -Pdp1,ENSMUSG00000049225,2.303722201495485 -Pdp2,ENSMUSG00000048371,1.580527882470901 -Pdpr,ENSMUSG00000033624,1.9154712141038897 -Pdss1,ENSMUSG00000026784,1.7426492934708737 -Pdss2,ENSMUSG00000038240,2.260947760995865 -Pdxk,ENSMUSG00000032788,1.801074032080114 -Pdxp,ENSMUSG00000116165,2.497676955954301 -Pdzd4,ENSMUSG00000002006,2.2149495316024006 -Pecr,ENSMUSG00000026189,2.463419738 -Pemt,ENSMUSG00000000301,1.2044309622134024 -Pepd,ENSMUSG00000063931,1.9432303555031283 -Pfas,ENSMUSG00000020899,1.5417648849647978 -Pfkfb1,ENSMUSG00000025271,2.455370199 -Pfkfb2,ENSMUSG00000026409,1.5596943807882382 -Pfkfb3,ENSMUSG00000026773,2.158652965218754 -Pfkfb4,ENSMUSG00000025648,1.7406770714457338 -Pfkl,ENSMUSG00000020277,1.8440429447962254 -Pfkm,ENSMUSG00000033065,2.0101115935049143 -Pfkp,ENSMUSG00000021196,2.7719909531957696 -Pgam1,ENSMUSG00000011752,3.344482 -Pgam2,ENSMUSG00000020475,3.344482 -Pgap1,ENSMUSG00000073678,1.927938660510571 -Pgd,ENSMUSG00000028961,2.032189169368781 -Pgghg,ENSMUSG00000062031,1.6837939799663217 -Pgk1,ENSMUSG00000062070,3.109839865932231 -Pgk2,ENSMUSG00000031233,3.344482 -Pgls,ENSMUSG00000031807,2.6279195415357033 -Pglyrp1,ENSMUSG00000030413,3.344482 -Pglyrp2,ENSMUSG00000079563,2.8524477682408635 -Pglyrp3,ENSMUSG00000042244,1.0757871961208634 -Pglyrp4,ENSMUSG00000042250,1.2543085416129767 -Pgm1,ENSMUSG00000025791,1.9875495732614332 -Pgm2,ENSMUSG00000029171,1.468773603820168 -Pgm2l1,ENSMUSG00000030729,3.344482 -Pgm3,ENSMUSG00000056131,1.4460840398470007 -Pgp,ENSMUSG00000043445,1.9994971410602604 -Pgs1,ENSMUSG00000017715,1.4688177901258765 -Phgdh,ENSMUSG00000053398,3.344482 -Phka1,ENSMUSG00000034055,3.344482 -Phka2,ENSMUSG00000031295,1.7782789432753296 -Phkb,ENSMUSG00000036879,2.405216141434663 -Phkg1,ENSMUSG00000025537,3.344482 -Phkg2,ENSMUSG00000030815,1.4966126121519454 -Phospho1,ENSMUSG00000050860,2.4683456163841937 -Phospho2,ENSMUSG00000027088,1.3408597020249438 -Phpt1,ENSMUSG00000036504,2.1597953767708593 -Phyh,ENSMUSG00000026664,2.159309863133455 -Phykpl,ENSMUSG00000020359,1.9373658097419975 -Pi4k2a,ENSMUSG00000025178,1.649654865949617 -Pi4k2b,ENSMUSG00000029186,1.7869665001350892 -Pi4ka,ENSMUSG00000041720,3.1470434019808686 -Pi4kb,ENSMUSG00000038861,2.223285334035375 -Piga,ENSMUSG00000031381,1.4715544069288529 -Pigb,ENSMUSG00000079469,1.5535196766619457 -Pigc,ENSMUSG00000026698,1.4781648597816959 -Pigf,ENSMUSG00000024145,1.3768571672485217 -Pigg,ENSMUSG00000029263,1.2635420072381849 -Pigh,ENSMUSG00000021120,1.3974910709543489 -Pigk,ENSMUSG00000039047,1.9302948798637534 -Pigl,ENSMUSG00000014245,1.388931227237714 -Pigm,ENSMUSG00000050229,1.3180851938930551 -Pign,ENSMUSG00000056536,1.775578423739806 -Pigo,ENSMUSG00000028454,1.3516574165433286 -Pigp,ENSMUSG00000022940,1.8045891753547298 -Pigq,ENSMUSG00000025728,1.4811474667721107 -Pigs,ENSMUSG00000041958,1.608687390699967 -Pigt,ENSMUSG00000017721,1.6408318266855935 -Pigu,ENSMUSG00000038383,1.714001640941826 -Pigv,ENSMUSG00000043257,1.6595305258843907 -Pigw,ENSMUSG00000045140,1.1044556946151325 -Pigx,ENSMUSG00000023791,1.6946269879558866 -Pigyl,ENSMUSG00000010607,1.7151180986580783 -Pigz,ENSMUSG00000045625,1.5290458259966362 -Pik3c2a,ENSMUSG00000030660,2.3072476341324446 -Pik3c2b,ENSMUSG00000026447,1.9128145731672639 -Pik3c2g,ENSMUSG00000030228,3.344482 -Pik3c3,ENSMUSG00000033628,1.492606017269906 -Pik3ca,ENSMUSG00000027665,2.208752089572162 -Pik3cb,ENSMUSG00000032462,1.8557501224661583 -Pik3cd,ENSMUSG00000039936,1.9179144798428926 -Pik3cg,ENSMUSG00000020573,2.7022429483182226 -Pik3r1,ENSMUSG00000041417,3.058904303078418 -Pik3r2,ENSMUSG00000031834,1.3342970267650103 -Pik3r3,ENSMUSG00000028698,3.344482 -Pik3r5,ENSMUSG00000020901,3.344482 -Pikfyve,ENSMUSG00000025949,1.7802080023246292 -Pin1,ENSMUSG00000032171,2.158052902390036 -Pin4,ENSMUSG00000079480,1.6610994953705265 -Pip4k2a,ENSMUSG00000026737,2.622448432 -Pip4k2b,ENSMUSG00000018547,1.6106806052906764 -Pip4k2c,ENSMUSG00000025417,1.637877785224323 -Pip4p1,ENSMUSG00000035953,1.8103107485632002 -Pip4p2,ENSMUSG00000028221,1.8088309244597813 -Pip5k1a,ENSMUSG00000028126,2.089661591 -Pip5k1b,ENSMUSG00000024867,3.344482 -Pip5k1c,ENSMUSG00000034902,2.3563120633156207 -Pip5kl1,ENSMUSG00000046854,0.9356353598820056 -Pipox,ENSMUSG00000017453,3.344482 -Pisd,ENSMUSG00000023452,1.6496343083726948 -Pja1,ENSMUSG00000034403,2.1228846619223853 -Pja2,ENSMUSG00000024083,3.344482 -Pklr,ENSMUSG00000041237,1.333533503014003 -Pkm,ENSMUSG00000032294,3.344482 -Pla2g10,ENSMUSG00000022683,1.7156901741671682 -Pla2g12a,ENSMUSG00000027999,1.4699872065037696 -Pla2g15,ENSMUSG00000031903,1.5928699315748525 -Pla2g1b,ENSMUSG00000029522,3.344482 -Pla2g2a,ENSMUSG00000058908,2.224543367903735 -Pla2g2d,ENSMUSG00000041202,2.063258599758463 -Pla2g2e,ENSMUSG00000028751,1.8080204370118012 -Pla2g2f,ENSMUSG00000028749,1.1652487889798135 -Pla2g3,ENSMUSG00000034579,2.6221789656038315 -Pla2g4a,ENSMUSG00000056220,2.6134755680125914 -Pla2g4b,ENSMUSG00000098488,1.1894647102637157 -Pla2g4c,ENSMUSG00000033847,1.9594410565721438 -Pla2g4d,ENSMUSG00000070719,0.842318 -Pla2g4e,ENSMUSG00000050211,1.6683583427160926 -Pla2g4f,ENSMUSG00000046971,1.0425213269381337 -Pla2g5,ENSMUSG00000041193,1.437686740476118 -Pla2g6,ENSMUSG00000042632,1.4967357834506259 -Pla2g7,ENSMUSG00000023913,3.344482 -Plaat3,ENSMUSG00000060675,3.2459513867510537 -Plb1,ENSMUSG00000029134,1.2658591369744638 -Plcb1,ENSMUSG00000051177,3.344482 -Plcb2,ENSMUSG00000040061,1.5971723082040892 -Plcb3,ENSMUSG00000024960,1.6947243911774854 -Plcb4,ENSMUSG00000039943,3.344482 -Plcd1,ENSMUSG00000010660,1.494176434955691 -Plcd3,ENSMUSG00000020937,1.520216189618429 -Plcd4,ENSMUSG00000026173,2.8907982404744073 -Plce1,ENSMUSG00000024998,3.344482 -Plcg1,ENSMUSG00000016933,1.7173502512082812 -Plcg2,ENSMUSG00000034330,3.1405929440129063 -Plch1,ENSMUSG00000036834,2.2116593254170067 -Plch2,ENSMUSG00000029055,1.892262896027152 -Plcl1,ENSMUSG00000038349,3.344482 -Plcxd2,ENSMUSG00000087141,2.425140298391834 -Plcz1,ENSMUSG00000030230,1.4485065101429675 -Pld1,ENSMUSG00000027695,3.2291457569534363 -Pld2,ENSMUSG00000020828,1.9835441208379574 -Pld6,ENSMUSG00000043648,1.1935082449774885 -Plg,ENSMUSG00000059481,3.344482 -Plin1,ENSMUSG00000030546,3.344482 -Plin2,ENSMUSG00000028494,3.344482 -Plin3,ENSMUSG00000024197,2.299727986053988 -Plin4,ENSMUSG00000002831,3.344482 -Plod1,ENSMUSG00000019055,2.3437330309764506 -Plod2,ENSMUSG00000032374,2.214970433 -Plod3,ENSMUSG00000004846,1.6201015559190433 -Plpbp,ENSMUSG00000031485,1.7585838174138613 -Plpp1,ENSMUSG00000021759,2.853220729564107 -Plpp2,ENSMUSG00000052151,1.757271104252014 -Plpp3,ENSMUSG00000028517,3.344482 -Plpp4,ENSMUSG00000070366,2.5349429247109905 -Plpp5,ENSMUSG00000031570,1.4059252739848986 -Plpp6,ENSMUSG00000040105,1.295040709684952 -Plppr2,ENSMUSG00000040563,2.1009004748653903 -Plppr3,ENSMUSG00000035835,2.07373225 -Plppr4,ENSMUSG00000044667,3.344482 -Pmm1,ENSMUSG00000022474,2.088987474752286 -Pmm2,ENSMUSG00000022711,1.6457073587304607 -Pmpca,ENSMUSG00000026926,1.4417527527764984 -Pmvk,ENSMUSG00000027952,1.749517098450806 -Pnck,ENSMUSG00000002012,2.024191773765193 -Pnkp,ENSMUSG00000002963,1.6706204367997157 -Pnlip,ENSMUSG00000046008,3.344482 -Pnliprp1,ENSMUSG00000042179,3.344482 -Pnliprp2,ENSMUSG00000025091,3.344482 -Pnmt,ENSMUSG00000038216,1.140293584824391 -Pnp,ENSMUSG00000115338,2.746997136608927 -Pnp2,ENSMUSG00000068417,1.7350313012731238 -Pnpla2,ENSMUSG00000025509,2.211583900858876 -Pnpla3,ENSMUSG00000041653,3.344482 -Pnpla6,ENSMUSG00000004565,1.479478666579399 -Pnpla7,ENSMUSG00000036833,2.6300510604944147 -Pnpla8,ENSMUSG00000036257,2.1541201687799796 -Pnpo,ENSMUSG00000018659,1.4177998751099765 -Pola1,ENSMUSG00000006678,2.1336267538640583 -Pola2,ENSMUSG00000024833,3.344482 -Polb,ENSMUSG00000031536,2.4253369712506725 -Pold1,ENSMUSG00000038644,1.5392445505275256 -Pold2,ENSMUSG00000020471,1.5304877666534091 -Pold3,ENSMUSG00000030726,1.4615313947064845 -Pold4,ENSMUSG00000024854,1.9269510736767956 -Pole,ENSMUSG00000007080,1.5376425308342923 -Pole2,ENSMUSG00000020974,1.417464811 -Pole3,ENSMUSG00000028394,1.4628765136296116 -Pole4,ENSMUSG00000030042,1.7692026015765527 -Polg,ENSMUSG00000039176,1.5104936320254372 -Polg2,ENSMUSG00000020718,1.6805651767376995 -Polh,ENSMUSG00000023953,1.760806585 -Poli,ENSMUSG00000038425,1.185016478730111 -Polk,ENSMUSG00000021668,1.7252760484921394 -Poll,ENSMUSG00000025218,1.3025988389989795 -Polm,ENSMUSG00000020474,1.6510827210248553 -Poln,ENSMUSG00000045102,1.6164485621938054 -Polq,ENSMUSG00000034206,1.311487385152805 -Polr1a,ENSMUSG00000049553,1.368381105908051 -Polr1b,ENSMUSG00000027395,2.1397719047479846 -Polr1c,ENSMUSG00000067148,1.601377951159284 -Polr1d,ENSMUSG00000029642,2.6035008519528757 -Polr1e,ENSMUSG00000028318,1.144688677299907 -Polr1h,ENSMUSG00000036315,1.483444198398002 -Polr2a,ENSMUSG00000005198,1.9892638944629224 -Polr2b,ENSMUSG00000029250,1.5998562897755293 -Polr2c,ENSMUSG00000031783,1.9336086292085795 -Polr2d,ENSMUSG00000024258,1.5169560286036197 -Polr2e,ENSMUSG00000004667,1.983041223317458 -Polr2f,ENSMUSG00000033020,2.2772784297214694 -Polr2g,ENSMUSG00000071662,2.0198204436316325 -Polr2h,ENSMUSG00000021018,1.5027730676180329 -Polr2i,ENSMUSG00000019738,1.913097707716193 -Polr2j,ENSMUSG00000039771,2.006933128174594 -Polr2k,ENSMUSG00000045996,1.9752727838488042 -Polr2l,ENSMUSG00000038489,2.0495187767430343 -Polr3a,ENSMUSG00000025280,1.5073820518946555 -Polr3b,ENSMUSG00000034453,1.5511913116953358 -Polr3c,ENSMUSG00000028099,1.4734047091875568 -Polr3d,ENSMUSG00000000776,1.392628970281372 -Polr3e,ENSMUSG00000030880,1.8610026152666679 -Polr3f,ENSMUSG00000027427,1.4208816286860517 -Polr3g,ENSMUSG00000035834,1.2407068834810846 -Polr3gl,ENSMUSG00000028104,1.6119129516233444 -Polr3h,ENSMUSG00000022476,1.413176651341289 -Polr3k,ENSMUSG00000038628,1.6252558860120867 -Polrmt,ENSMUSG00000020329,1.5640326839362282 -Pom121,ENSMUSG00000053293,1.471457208 -Pomgnt1,ENSMUSG00000028700,1.7517263259112326 -Pomt1,ENSMUSG00000039254,1.4473335353314813 -Pomt2,ENSMUSG00000034126,1.3756396054716085 -Pon1,ENSMUSG00000002588,2.3132376583579948 -Pon2,ENSMUSG00000032667,2.7079254660489127 -Pon3,ENSMUSG00000029759,2.519349463659444 -Por,ENSMUSG00000005514,2.2457003890012706 -Porcn,ENSMUSG00000031169,1.7632023229068885 -Ppa1,ENSMUSG00000020089,2.124917721798595 -Ppa2,ENSMUSG00000028013,1.758314891573556 -Ppat,ENSMUSG00000029246,1.3212695183812706 -Ppcdc,ENSMUSG00000063849,1.659911776923348 -Ppcs,ENSMUSG00000028636,1.3982089016116463 -Ppia,ENSMUSG00000071866,3.344482 -Ppib,ENSMUSG00000032383,3.344482 -Ppic,ENSMUSG00000024538,3.344482 -Ppid,ENSMUSG00000027804,1.8452564194995376 -Ppie,ENSMUSG00000028651,1.5384849507642473 -Ppif,ENSMUSG00000021868,1.3058382266000275 -Ppig,ENSMUSG00000042133,2.6159746829212613 -Ppih,ENSMUSG00000060288,1.468122193262965 -Ppil1,ENSMUSG00000024007,1.5037302824834875 -Ppil2,ENSMUSG00000022771,1.8991714794122418 -Ppil3,ENSMUSG00000026035,1.4280141561870563 -Ppil4,ENSMUSG00000015757,1.7927870399226258 -Ppip5k1,ENSMUSG00000033526,2.159394632697256 -Ppip5k2,ENSMUSG00000040648,1.704733723559159 -Ppm1l,ENSMUSG00000027784,3.344482 -Ppox,ENSMUSG00000062729,1.6392928145732784 -Ppp1r3b,ENSMUSG00000046794,2.082722024 -Ppp1r3c,ENSMUSG00000067279,2.3078593445927296 -Ppt1,ENSMUSG00000028657,2.2171853241972697 -Ppt2,ENSMUSG00000015474,1.578676327404981 -Ppwd1,ENSMUSG00000021713,1.6401192998933445 -Prdx1,ENSMUSG00000028691,3.344482 -Prdx2,ENSMUSG00000005161,3.344482 -Prdx3,ENSMUSG00000024997,1.8542604705956347 -Prdx5,ENSMUSG00000024953,3.344482 -Prdx6,ENSMUSG00000026701,3.344482 -Preb,ENSMUSG00000045302,1.8168573266881012 -Prep,ENSMUSG00000019849,1.4127701230039575 -Prkd1,ENSMUSG00000002688,3.344482 -Prkn,ENSMUSG00000023826,3.344482 -Prodh,ENSMUSG00000003526,2.0869880517078103 -Prodh2,ENSMUSG00000036892,3.344482 -Prps1,ENSMUSG00000031432,1.5333472632066616 -Prps1l1,ENSMUSG00000092305,2.677330346391685 -Prps2,ENSMUSG00000025742,1.3330640852233469 -Prune1,ENSMUSG00000015711,1.6523430393226666 -Psap,ENSMUSG00000004207,3.344482 -Psat1,ENSMUSG00000024640,2.0371073206377117 -Psma1,ENSMUSG00000030751,2.564891472086077 -Psma2,ENSMUSG00000015671,2.9241769045626027 -Psma3,ENSMUSG00000060073,3.2618911927514955 -Psma4,ENSMUSG00000032301,2.6218337163010577 -Psma5,ENSMUSG00000068749,2.3482422042765987 -Psma7,ENSMUSG00000027566,3.344482 -Psma8,ENSMUSG00000036743,1.3840280451874603 -Psmb1,ENSMUSG00000014769,3.344482 -Psmb10,ENSMUSG00000031897,1.8740699133453178 -Psmb11,ENSMUSG00000072423,1.5957276568816172 -Psmb2,ENSMUSG00000028837,2.898569667215671 -Psmb3,ENSMUSG00000069744,3.0784108655008318 -Psmb4,ENSMUSG00000005779,2.8786160425840888 -Psmb5,ENSMUSG00000022193,2.8283888686980267 -Psmb6,ENSMUSG00000018286,3.344482 -Psmb7,ENSMUSG00000026750,2.317256737111325 -Psmb8,ENSMUSG00000024338,3.344482 -Psmb9,ENSMUSG00000096727,3.1988117659592663 -Psmd1,ENSMUSG00000026229,2.242268577407217 -Psmd10,ENSMUSG00000031429,1.3964955990279362 -Psmd11,ENSMUSG00000017428,2.3040216356926004 -Psmd12,ENSMUSG00000020720,2.077533333280678 -Psmd13,ENSMUSG00000025487,2.001939850472274 -Psmd14,ENSMUSG00000026914,2.253897890066433 -Psmd2,ENSMUSG00000006998,2.105000424191405 -Psmd4,ENSMUSG00000005625,2.5778592581130857 -Psmd5,ENSMUSG00000026869,1.597004931877055 -Psmd6,ENSMUSG00000021737,2.1307987128168073 -Psmd7,ENSMUSG00000039067,2.619406036910478 -Psmd8,ENSMUSG00000030591,2.4385205713749785 -Psmd9,ENSMUSG00000029440,1.7248105349419551 -Psmg1,ENSMUSG00000022913,1.4089311541516287 -Psmg2,ENSMUSG00000024537,1.617351529027397 -Psmg3,ENSMUSG00000029551,1.458175569769763 -Psmg4,ENSMUSG00000071451,1.6559658811478268 -Psph,ENSMUSG00000029446,1.5757474828233966 -Ptdss1,ENSMUSG00000021518,1.603308499588254 -Ptdss2,ENSMUSG00000025495,1.5663003845932646 -Pten,ENSMUSG00000013663,3.0051821140705037 -Ptgds,ENSMUSG00000015090,3.344482 -Ptges,ENSMUSG00000050737,1.8903158339562731 -Ptges2,ENSMUSG00000026820,1.3201814956846276 -Ptges3,ENSMUSG00000071072,2.8407709257561637 -Ptgis,ENSMUSG00000017969,2.615341631522615 -Ptgr1,ENSMUSG00000028378,1.9122553986128132 -Ptgs1,ENSMUSG00000047250,3.3016446575212197 -Ptgs2,ENSMUSG00000032487,2.348888500098222 -Ptpmt1,ENSMUSG00000063235,1.7330458603833552 -Ptprq,ENSMUSG00000035916,2.342740108822739 -Ptrh1,ENSMUSG00000053746,1.0191375171094967 -Ptrh2,ENSMUSG00000072582,1.4052942272137465 -Pts,ENSMUSG00000032067,1.7141585538524773 -Pus1,ENSMUSG00000029507,1.2972331207296401 -Pxdn,ENSMUSG00000020674,1.695513030954251 -Pxylp1,ENSMUSG00000043587,2.1056209225980664 -Pycr1,ENSMUSG00000025140,1.1137597783435522 -Pycr2,ENSMUSG00000026520,1.6778966083915885 -Pycr3,ENSMUSG00000022571,1.4791840725791066 -Pygb,ENSMUSG00000033059,2.1036510463161053 -Pygl,ENSMUSG00000021069,2.832484539372109 -Pygm,ENSMUSG00000032648,3.344482 -Pyurf,ENSMUSG00000043162,1.427776377399896 -Qars1,ENSMUSG00000032604,1.6044228847398663 -Qdpr,ENSMUSG00000015806,2.960265299260475 -Qpct,ENSMUSG00000024084,3.311487571806402 -Qprt,ENSMUSG00000030674,2.1277548360066683 -Qtrt1,ENSMUSG00000002825,1.5248205835785944 -Qtrt2,ENSMUSG00000022704,1.5080903475211733 -Rab1a,ENSMUSG00000020149,2.962939981874213 -Rab6b,ENSMUSG00000032549,3.344482 -Rab8b,ENSMUSG00000036943,2.324431489078389 -Rad1,ENSMUSG00000022248,1.2303114182798272 -Rad18,ENSMUSG00000030254,1.4630049676021202 -Rad9a,ENSMUSG00000024824,1.3858560956299837 -Rae1,ENSMUSG00000027509,1.6706574620954289 -Rag1,ENSMUSG00000061311,3.344482 -Ralbp1,ENSMUSG00000024096,2.5794218374570375 -Ranbp2,ENSMUSG00000003226,2.090456708308825 -Rars1,ENSMUSG00000018848,1.5877188264585027 -Rbak,ENSMUSG00000061898,1.444026667853376 -Rbbp6,ENSMUSG00000030779,2.4088697658046545 -Rbks,ENSMUSG00000029136,1.6279174942376242 -Rbp1,ENSMUSG00000046402,3.344482 -Rbp2,ENSMUSG00000032454,3.344482 -Rbp3,ENSMUSG00000041534,3.344482 -Rbp4,ENSMUSG00000024990,3.344482 -Rchy1,ENSMUSG00000029397,1.9494907724847201 -Rdh1,ENSMUSG00000089789,1.1366420884881419 -Rdh10,ENSMUSG00000025921,1.668970099642784 -Rdh11,ENSMUSG00000066441,1.3756199156251823 -Rdh12,ENSMUSG00000021123,2.889771445585166 -Rdh13,ENSMUSG00000008435,1.405009357971215 -Rdh14,ENSMUSG00000020621,1.6012498694562416 -Rdh16,ENSMUSG00000069456,3.344482 -Rdh16f2,ENSMUSG00000074639,3.344482 -Rdh19,ENSMUSG00000054052,1.2388946180206417 -Rdh5,ENSMUSG00000025350,2.88622885 -Rdh7,ENSMUSG00000040134,3.344482 -Rdh8,ENSMUSG00000053773,3.344482 -Rdh9,ENSMUSG00000056148,1.044251972 -Renbp,ENSMUSG00000031387,2.3062341397995914 -Rev3l,ENSMUSG00000019841,3.2034044239466644 -Rfc5,ENSMUSG00000029363,1.2297862863897617 -Rfk,ENSMUSG00000024712,1.5909938372867527 -Rfwd3,ENSMUSG00000033596,1.7267975735509709 -Rgn,ENSMUSG00000023070,2.972536561829463 -Rhag,ENSMUSG00000023926,3.344482 -Rhbg,ENSMUSG00000104445,2.8863891160712614 -Rhcg,ENSMUSG00000030549,3.344482 -Ring1,ENSMUSG00000024325,1.6044133052373983 -Rlbp1,ENSMUSG00000039194,3.344482 -Rnf103,ENSMUSG00000052656,1.6735699098668293 -Rnf115,ENSMUSG00000028098,1.9523396992475186 -Rnf123,ENSMUSG00000041528,1.6827642620379821 -Rnf125,ENSMUSG00000033107,2.6923804463961303 -Rnf126,ENSMUSG00000035890,1.5332151997918522 -Rnf128,ENSMUSG00000031438,1.9033633712953415 -Rnf13,ENSMUSG00000036503,2.5348382030394463 -Rnf130,ENSMUSG00000020376,2.532464967039581 -Rnf133,ENSMUSG00000051956,1.131614031174789 -Rnf138,ENSMUSG00000024317,1.7729673404807516 -Rnf139,ENSMUSG00000037075,1.732227147288801 -Rnf14,ENSMUSG00000060450,2.733148732326088 -Rnf144a,ENSMUSG00000020642,1.9744965012239766 -Rnf144b,ENSMUSG00000038068,1.7676422123361741 -Rnf146,ENSMUSG00000038876,1.6993238310848509 -Rnf149,ENSMUSG00000048234,1.5868166439524438 -Rnf152,ENSMUSG00000047496,3.1295463033433153 -Rnf167,ENSMUSG00000040746,1.8815496285545568 -Rnf180,ENSMUSG00000021720,1.7053748905311257 -Rnf182,ENSMUSG00000044164,2.9005984376267278 -Rnf185,ENSMUSG00000020448,1.6281516948832202 -Rnf187,ENSMUSG00000020496,3.344482 -Rnf19a,ENSMUSG00000022280,1.8006009681184714 -Rnf19b,ENSMUSG00000028793,1.5641471493633212 -Rnf2,ENSMUSG00000026484,1.6575864095574175 -Rnf20,ENSMUSG00000028309,1.693187751310974 -Rnf216,ENSMUSG00000045078,2.2160041481939543 -Rnf217,ENSMUSG00000063760,1.6677720013953272 -Rnf25,ENSMUSG00000026171,1.5272643672223132 -Rnf31,ENSMUSG00000047098,1.4263021214166707 -Rnf40,ENSMUSG00000030816,1.324464949288397 -Rnf41,ENSMUSG00000025373,1.654264025 -Rnf5,ENSMUSG00000015478,1.7674829593192658 -Rnf8,ENSMUSG00000090083,1.601554627 -Rngtt,ENSMUSG00000028274,2.088836052778103 -Rnmt,ENSMUSG00000009535,1.6585128669917413 -Rnpep,ENSMUSG00000041926,1.889383445717009 -Rpe,ENSMUSG00000026005,1.3791137720764253 -Rpe65,ENSMUSG00000028174,3.344482 -Rpia,ENSMUSG00000053604,1.4205970158128367 -Rpl36a,ENSMUSG00000079435,3.344482 -Rpn1,ENSMUSG00000030062,2.1926290140216635 -Rpn2,ENSMUSG00000027642,2.5915960442352066 -Rpp14,ENSMUSG00000023156,1.3266838616475898 -Rpusd4,ENSMUSG00000032044,1.2595950636301965 -Rrbp1,ENSMUSG00000027422,3.344482 -Rrm1,ENSMUSG00000030978,1.9298348194588082 -Rrm2,ENSMUSG00000020649,3.344482 -Rrm2b,ENSMUSG00000022292,3.344482 -Rtca,ENSMUSG00000000339,1.464716781946257 -Rwdd2a,ENSMUSG00000032417,1.5248681102551314 -Sacm1l,ENSMUSG00000025240,1.9922772980883774 -Sae1,ENSMUSG00000052833,1.9538082499735645 -Sapcd1,ENSMUSG00000036185,2.7699649165965576 -Sar1b,ENSMUSG00000020386,2.0361685007255677 -Sardh,ENSMUSG00000009614,2.253592304091518 -Sars1,ENSMUSG00000068739,2.2528274903126047 -Sat1,ENSMUSG00000025283,3.344482 -Sat2,ENSMUSG00000069835,1.6448657064611103 -Satl1,ENSMUSG00000025527,3.344482 -Sc5d,ENSMUSG00000032018,1.7596609781662966 -Scarb1,ENSMUSG00000037936,1.9803231705541953 -Scarf2,ENSMUSG00000012017,1.7496520534560014 -Sccpdh,ENSMUSG00000038936,1.8762065941854482 -Scd1,ENSMUSG00000037071,3.344482 -Scd2,ENSMUSG00000025203,3.344482 -Scd3,ENSMUSG00000025202,1.3298839928614756 -Scly,ENSMUSG00000026307,1.4378576463246446 -Scn10a,ENSMUSG00000034533,3.344482 -Scn11a,ENSMUSG00000034115,3.344482 -Scn1a,ENSMUSG00000064329,3.344482 -Scn2a,ENSMUSG00000075318,3.344482 -Scn3a,ENSMUSG00000057182,2.202244212198973 -Scn4a,ENSMUSG00000001027,3.344482 -Scn5a,ENSMUSG00000032511,1.707426304553458 -Scn7a,ENSMUSG00000034810,3.344482 -Scn8a,ENSMUSG00000023033,3.344482 -Scn9a,ENSMUSG00000075316,2.550135122117076 -Scnn1a,ENSMUSG00000030340,2.155291567699985 -Scnn1b,ENSMUSG00000030873,1.4711879377482906 -Scnn1g,ENSMUSG00000000216,1.7007023680688829 -Scp2,ENSMUSG00000028603,3.140565239237276 -Sdc1,ENSMUSG00000020592,2.5287319163294155 -Sdha,ENSMUSG00000021577,2.659261555595542 -Sdhb,ENSMUSG00000009863,2.8964789354429508 -Sdhc,ENSMUSG00000058076,2.065301421191725 -Sdhd,ENSMUSG00000000171,2.050330141255342 -Sdr16c5,ENSMUSG00000028236,1.5657576782717098 -Sdr42e1,ENSMUSG00000034308,1.077878497525402 -Sdr9c7,ENSMUSG00000040127,0.8747593909775868 -Sds,ENSMUSG00000029597,1.9373937566684973 -Sdsl,ENSMUSG00000029596,1.4764527480095926 -Sec11a,ENSMUSG00000025724,2.248329357022402 -Sec11c,ENSMUSG00000024516,2.593033791959037 -Sec13,ENSMUSG00000030298,1.955923190326242 -Sec16a,ENSMUSG00000026924,1.5226512854899026 -Sec22b,ENSMUSG00000027879,1.7174472047508444 -Sec23a,ENSMUSG00000020986,1.8318709097739363 -Sec24a,ENSMUSG00000036391,1.9595878581994008 -Sec31a,ENSMUSG00000035325,1.8183454908746424 -Sec61a1,ENSMUSG00000030082,1.8873721631579443 -Sec61b,ENSMUSG00000053317,3.344482 -Sec61g,ENSMUSG00000078974,3.344482 -Sec62,ENSMUSG00000027706,3.344482 -Sec63,ENSMUSG00000019802,2.0971111838483383 -Seh1l,ENSMUSG00000079614,1.469841232734972 -Sel1l,ENSMUSG00000020964,2.337435903149589 -Selenoi,ENSMUSG00000075703,1.8204306612310663 -Selenos,ENSMUSG00000075701,2.4100076237540384 -Sephs1,ENSMUSG00000026662,1.471630470713766 -Sephs2,ENSMUSG00000049091,1.7858900545266374 -Serp1,ENSMUSG00000027808,2.6027012709991655 -Serpina1a,ENSMUSG00000066366,3.344482 -Serpina1b,ENSMUSG00000071178,3.344482 -Serpina1d,ENSMUSG00000071177,3.344482 -Serpina1e,ENSMUSG00000072849,3.344482 -Serpina3c,ENSMUSG00000066361,2.047119543644316 -Serpina3f,ENSMUSG00000066363,3.344482 -Serpina3g,ENSMUSG00000041481,3.344482 -Serpina3i,ENSMUSG00000079014,1.0733865407264784 -Serpina3k,ENSMUSG00000058207,3.344482 -Serpina3m,ENSMUSG00000079012,2.7247885608396154 -Serpina3n,ENSMUSG00000021091,2.588799480208777 -Setd1a,ENSMUSG00000042308,1.3623009875505696 -Setd1b,ENSMUSG00000038384,1.5494181643073903 -Setd2,ENSMUSG00000044791,2.206356877614843 -Setd5,ENSMUSG00000034269,2.7575463208438906 -Setd7,ENSMUSG00000037111,2.2220623537153115 -Setdb1,ENSMUSG00000015697,1.803637775210024 -Setdb2,ENSMUSG00000071350,1.7249340147969023 -Setmar,ENSMUSG00000034639,0.9888629405458402 -Sfxn1,ENSMUSG00000021474,2.054099503051713 -Sfxn3,ENSMUSG00000025212,1.617970863853294 -Sgms1,ENSMUSG00000040451,3.1289399748253044 -Sgms2,ENSMUSG00000050931,2.925031221135008 -Sgpl1,ENSMUSG00000020097,1.8435550785943153 -Sgpp1,ENSMUSG00000021054,1.638536255132828 -Sgpp2,ENSMUSG00000032908,3.050771409574168 -Sgsh,ENSMUSG00000005043,1.4304659029484847 -Sh3bp1,ENSMUSG00000022436,2.0979590025032295 -Sh3glb1,ENSMUSG00000037062,2.6984800483501097 -Sh3rf1,ENSMUSG00000031642,2.2423692321960194 -Sh3rf2,ENSMUSG00000057719,1.959048407756437 -Sh3rf3,ENSMUSG00000037990,2.440378220794908 -Shmt1,ENSMUSG00000020534,1.5854952909543696 -Shmt2,ENSMUSG00000025403,1.5518115948752385 -Shpk,ENSMUSG00000005951,1.5009172398194353 -Shprh,ENSMUSG00000090112,1.8950506148836372 -Siae,ENSMUSG00000001942,1.3690586415321473 -Siah1a,ENSMUSG00000036840,1.638797413160965 -Siah1b,ENSMUSG00000040749,1.1428934852768864 -Siah2,ENSMUSG00000036432,1.3618206246395559 -Sil1,ENSMUSG00000024357,2.1189867992411053 -Sirt1,ENSMUSG00000020063,1.6137037131560166 -Sirt2,ENSMUSG00000015149,2.374405359357556 -Sirt3,ENSMUSG00000025486,1.6601351412533263 -Sirt5,ENSMUSG00000054021,1.4935743308287495 -Sirt6,ENSMUSG00000034748,1.3018932341824907 -Sirt7,ENSMUSG00000025138,1.7729748724222758 -Sis,ENSMUSG00000027790,2.626087684583286 -Skp1,ENSMUSG00000036309,3.344482 -Slc10a1,ENSMUSG00000021135,2.120426424 -Slc10a2,ENSMUSG00000023073,3.344482 -Slc10a6,ENSMUSG00000029321,3.344482 -Slc11a1,ENSMUSG00000026177,3.344482 -Slc11a2,ENSMUSG00000023030,1.4140360950321758 -Slc12a1,ENSMUSG00000027202,3.344482 -Slc12a2,ENSMUSG00000024597,3.157216336207449 -Slc12a3,ENSMUSG00000031766,3.344482 -Slc12a4,ENSMUSG00000017765,1.991433058189052 -Slc12a5,ENSMUSG00000017740,3.344482 -Slc12a6,ENSMUSG00000027130,2.4119587024753155 -Slc12a7,ENSMUSG00000017756,1.8928045992666496 -Slc13a1,ENSMUSG00000029700,3.344482 -Slc13a2,ENSMUSG00000001095,2.367336849309474 -Slc13a3,ENSMUSG00000018459,3.344482 -Slc13a4,ENSMUSG00000029843,2.777982380442642 -Slc13a5,ENSMUSG00000020805,1.4387642460091965 -Slc14a1,ENSMUSG00000059336,3.1166057447328406 -Slc14a2,ENSMUSG00000024552,3.344482 -Slc15a1,ENSMUSG00000025557,1.9269117657687456 -Slc15a2,ENSMUSG00000022899,3.275454731340272 -Slc15a3,ENSMUSG00000024737,2.3771332670794236 -Slc15a4,ENSMUSG00000029416,1.4795908390781545 -Slc16a1,ENSMUSG00000032902,1.9339382849805882 -Slc16a10,ENSMUSG00000019838,2.6788874310376847 -Slc16a12,ENSMUSG00000009378,2.6798342215016975 -Slc16a13,ENSMUSG00000044367,1.4874713037409248 -Slc16a2,ENSMUSG00000033965,3.191758515450674 -Slc16a3,ENSMUSG00000025161,2.410164679925098 -Slc16a4,ENSMUSG00000027896,2.3704622091987146 -Slc16a5,ENSMUSG00000045775,3.344482 -Slc16a6,ENSMUSG00000041920,1.870963168168336 -Slc16a7,ENSMUSG00000020102,2.1384921426190933 -Slc16a8,ENSMUSG00000032988,3.344482 -Slc16a9,ENSMUSG00000037762,3.0034937332980363 -Slc17a1,ENSMUSG00000021335,3.344482 -Slc17a2,ENSMUSG00000036110,2.038540492 -Slc17a3,ENSMUSG00000036083,3.344482 -Slc17a4,ENSMUSG00000021336,1.9922968336788818 -Slc17a5,ENSMUSG00000049624,1.731251524359146 -Slc17a6,ENSMUSG00000030500,3.03813602 -Slc17a7,ENSMUSG00000070570,3.344482 -Slc17a8,ENSMUSG00000019935,2.478108167396172 -Slc18a1,ENSMUSG00000036330,2.7056863803359943 -Slc18a2,ENSMUSG00000025094,1.8930196700073603 -Slc18a3,ENSMUSG00000100241,2.3141133948255015 -Slc19a1,ENSMUSG00000001436,1.4365330310861826 -Slc19a2,ENSMUSG00000040918,1.1530898406562569 -Slc19a3,ENSMUSG00000038496,1.8325006381629103 -Slc1a1,ENSMUSG00000024935,1.7942921796480735 -Slc1a2,ENSMUSG00000005089,3.344482 -Slc1a3,ENSMUSG00000005360,3.344482 -Slc1a4,ENSMUSG00000020142,1.5570684066140743 -Slc1a5,ENSMUSG00000001918,3.344482 -Slc1a6,ENSMUSG00000005357,1.6658132468949665 -Slc1a7,ENSMUSG00000008932,3.344482 -Slc20a1,ENSMUSG00000027397,1.6347010012510104 -Slc20a2,ENSMUSG00000037656,2.1156999920769413 -Slc22a1,ENSMUSG00000023829,3.344482 -Slc22a12,ENSMUSG00000061742,3.344482 -Slc22a13,ENSMUSG00000074028,2.2522398882497394 -Slc22a15,ENSMUSG00000033147,1.7018531300375581 -Slc22a16,ENSMUSG00000019834,0.9252358294915461 -Slc22a18,ENSMUSG00000000154,3.344482 -Slc22a19,ENSMUSG00000024757,2.3570250332982416 -Slc22a2,ENSMUSG00000040966,3.344482 -Slc22a3,ENSMUSG00000023828,1.6587836519671755 -Slc22a4,ENSMUSG00000020334,2.7817325264310546 -Slc22a5,ENSMUSG00000018900,1.7265513326435618 -Slc22a6,ENSMUSG00000024650,3.344482 -Slc22a7,ENSMUSG00000067144,3.344482 -Slc22a8,ENSMUSG00000063796,3.344482 -Slc23a1,ENSMUSG00000024354,2.1700491971364606 -Slc23a2,ENSMUSG00000027340,2.435457104004616 -Slc24a1,ENSMUSG00000034452,3.344482 -Slc24a2,ENSMUSG00000037996,3.344482 -Slc24a3,ENSMUSG00000063873,3.344482 -Slc24a4,ENSMUSG00000041771,1.9652871632872617 -Slc24a5,ENSMUSG00000035183,2.6996256768756948 -Slc25a1,ENSMUSG00000003528,1.5092485954276342 -Slc25a10,ENSMUSG00000025792,1.6910626836429359 -Slc25a11,ENSMUSG00000014606,2.044358881534924 -Slc25a12,ENSMUSG00000027010,2.388777926736931 -Slc25a13,ENSMUSG00000015112,2.7880268753390673 -Slc25a14,ENSMUSG00000031105,1.4850833248623363 -Slc25a15,ENSMUSG00000031482,1.4801714152314767 -Slc25a16,ENSMUSG00000071253,1.4522161832950304 -Slc25a17,ENSMUSG00000022404,1.7291931198952906 -Slc25a18,ENSMUSG00000004902,3.344482 -Slc25a19,ENSMUSG00000020744,1.427986110700773 -Slc25a2,ENSMUSG00000050304,1.1194198012322494 -Slc25a20,ENSMUSG00000032602,1.6229175459751517 -Slc25a21,ENSMUSG00000035472,3.344482 -Slc25a22,ENSMUSG00000019082,1.9184902020071326 -Slc25a26,ENSMUSG00000045100,1.4888931430508616 -Slc25a27,ENSMUSG00000023912,2.1332014548735816 -Slc25a28,ENSMUSG00000040414,1.489092616427687 -Slc25a29,ENSMUSG00000021265,1.3638182455529386 -Slc25a3,ENSMUSG00000061904,3.344482 -Slc25a32,ENSMUSG00000022299,1.3652599538066923 -Slc25a33,ENSMUSG00000028982,1.6631996288843642 -Slc25a36,ENSMUSG00000032449,2.1327767264969966 -Slc25a37,ENSMUSG00000034248,2.0284904356306357 -Slc25a38,ENSMUSG00000032519,1.440990018923554 -Slc25a39,ENSMUSG00000018677,1.9528171691825058 -Slc25a4,ENSMUSG00000031633,3.344482 -Slc25a40,ENSMUSG00000054099,1.5147633369043698 -Slc25a42,ENSMUSG00000002346,1.5240547375337081 -Slc25a5,ENSMUSG00000016319,3.344482 -Slc26a1,ENSMUSG00000046959,2.3233448545539646 -Slc26a11,ENSMUSG00000039908,2.0225168647774825 -Slc26a2,ENSMUSG00000034320,1.7470112410784837 -Slc26a3,ENSMUSG00000001225,2.6002068924912107 -Slc26a4,ENSMUSG00000020651,1.2260291708889666 -Slc26a6,ENSMUSG00000023259,1.5173797912740288 -Slc26a7,ENSMUSG00000040569,2.5615166729958223 -Slc26a8,ENSMUSG00000036196,1.1502583736334506 -Slc26a9,ENSMUSG00000042268,0.842318 -Slc27a1,ENSMUSG00000031808,2.4369625146547778 -Slc27a2,ENSMUSG00000027359,3.344482 -Slc27a3,ENSMUSG00000027932,1.4211049969131946 -Slc27a4,ENSMUSG00000059316,1.4126776239521208 -Slc27a5,ENSMUSG00000030382,1.1376625534736808 -Slc27a6,ENSMUSG00000024600,1.6673097093643927 -Slc28a1,ENSMUSG00000025726,1.0578347922334932 -Slc28a2,ENSMUSG00000027219,3.344482 -Slc28a2b,ENSMUSG00000079071,1.034151105806311 -Slc28a3,ENSMUSG00000021553,1.578241106084577 -Slc29a1,ENSMUSG00000023942,2.2554374843282576 -Slc29a2,ENSMUSG00000024891,1.158588112084603 -Slc29a3,ENSMUSG00000020100,2.324748584228093 -Slc29a4,ENSMUSG00000050822,2.0064401114228887 -Slc2a1,ENSMUSG00000028645,3.2151225050809127 -Slc2a10,ENSMUSG00000027661,1.8238256421341434 -Slc2a12,ENSMUSG00000037490,1.591781780556135 -Slc2a13,ENSMUSG00000036298,3.344482 -Slc2a2,ENSMUSG00000027690,2.2643600969223443 -Slc2a3,ENSMUSG00000003153,2.2481423795317417 -Slc2a4,ENSMUSG00000018566,3.344482 -Slc2a5,ENSMUSG00000028976,3.344482 -Slc2a6,ENSMUSG00000036067,1.234678101012701 -Slc2a7,ENSMUSG00000062064,1.2818325609875354 -Slc2a8,ENSMUSG00000026791,1.526027334038339 -Slc2a9,ENSMUSG00000005107,1.9084024181306267 -Slc30a1,ENSMUSG00000037434,1.3629432458278672 -Slc30a6,ENSMUSG00000024069,1.541605276532882 -Slc30a7,ENSMUSG00000054414,1.6898683082615953 -Slc31a1,ENSMUSG00000066150,1.7670439501435249 -Slc32a1,ENSMUSG00000037771,3.344482 -Slc33a1,ENSMUSG00000027822,1.5722644799543521 -Slc34a1,ENSMUSG00000021490,3.344482 -Slc34a2,ENSMUSG00000029188,3.344482 -Slc34a3,ENSMUSG00000006469,2.3714925083220004 -Slc35a1,ENSMUSG00000028293,1.5674011930015819 -Slc35a2,ENSMUSG00000031156,1.4653779081529184 -Slc35a3,ENSMUSG00000027957,1.740013721755282 -Slc35b2,ENSMUSG00000037089,1.5165761031201086 -Slc35b4,ENSMUSG00000018999,1.2142751297038168 -Slc35c1,ENSMUSG00000049922,1.0792044083581256 -Slc35d1,ENSMUSG00000028521,1.5815775804358214 -Slc35d2,ENSMUSG00000033114,2.196046456962923 -Slc36a1,ENSMUSG00000020261,1.3981196950183927 -Slc36a2,ENSMUSG00000020264,3.344482 -Slc36a3,ENSMUSG00000049491,1.3866884257808005 -Slc36a4,ENSMUSG00000043885,1.3536141319773038 -Slc37a1,ENSMUSG00000024036,1.329091119015705 -Slc37a4,ENSMUSG00000032114,1.6328195027420989 -Slc38a1,ENSMUSG00000023169,2.6673166091848977 -Slc38a2,ENSMUSG00000022462,3.092462429123149 -Slc38a3,ENSMUSG00000010064,3.344482 -Slc38a4,ENSMUSG00000022464,1.4565200229872326 -Slc38a5,ENSMUSG00000031170,3.344482 -Slc39a1,ENSMUSG00000052310,2.025705241151771 -Slc39a10,ENSMUSG00000025986,2.5524783657662105 -Slc39a14,ENSMUSG00000022094,1.4786011332837945 -Slc39a2,ENSMUSG00000072572,1.7031485154886497 -Slc39a3,ENSMUSG00000046822,1.340705721269036 -Slc39a4,ENSMUSG00000063354,2.614535789853179 -Slc39a5,ENSMUSG00000039878,1.3968992365964974 -Slc39a6,ENSMUSG00000024270,1.6566339580533644 -Slc39a7,ENSMUSG00000024327,1.6269695403571114 -Slc39a8,ENSMUSG00000053897,2.6974178686961405 -Slc3a1,ENSMUSG00000024131,1.8436113306260975 -Slc3a2,ENSMUSG00000010095,2.8349565353138044 -Slc40a1,ENSMUSG00000025993,2.6430151023112733 -Slc41a1,ENSMUSG00000013275,1.5473574243245194 -Slc41a2,ENSMUSG00000034591,1.6983140414266387 -Slc43a1,ENSMUSG00000027075,2.115802888761896 -Slc43a2,ENSMUSG00000038178,2.465863886963206 -Slc44a1,ENSMUSG00000028412,2.790921927629239 -Slc44a2,ENSMUSG00000057193,1.8782113288480757 -Slc44a3,ENSMUSG00000039865,1.59300224 -Slc44a4,ENSMUSG00000007034,2.1088180912459134 -Slc44a5,ENSMUSG00000028360,2.541092756795031 -Slc46a1,ENSMUSG00000020829,1.5113922774786153 -Slc47a1,ENSMUSG00000010122,3.344482 -Slc47a2,ENSMUSG00000069855,1.371881389139092 -Slc4a1,ENSMUSG00000006574,3.344482 -Slc4a10,ENSMUSG00000026904,3.344482 -Slc4a2,ENSMUSG00000028962,1.7243451671821086 -Slc4a3,ENSMUSG00000006576,1.6442389168392684 -Slc4a4,ENSMUSG00000060961,3.344482 -Slc4a5,ENSMUSG00000068323,2.0820913025740224 -Slc4a7,ENSMUSG00000021733,2.1145547395636966 -Slc4a8,ENSMUSG00000023032,1.4584767862165797 -Slc4a9,ENSMUSG00000024485,3.344482 -Slc51a,ENSMUSG00000035699,3.344482 -Slc51b,ENSMUSG00000053862,2.6222883708510887 -Slc52a2,ENSMUSG00000022560,1.3554613810946161 -Slc52a3,ENSMUSG00000027463,2.0463983830241097 -Slc5a1,ENSMUSG00000011034,2.4394777953174716 -Slc5a10,ENSMUSG00000042371,3.344482 -Slc5a11,ENSMUSG00000030769,2.652047883659608 -Slc5a12,ENSMUSG00000041644,3.344482 -Slc5a2,ENSMUSG00000030781,3.344482 -Slc5a3,ENSMUSG00000089774,2.398429980629267 -Slc5a5,ENSMUSG00000000792,1.3154059169284398 -Slc5a6,ENSMUSG00000006641,1.2492818710274463 -Slc5a7,ENSMUSG00000023945,3.0895157152169372 -Slc5a8,ENSMUSG00000020062,3.344482 -Slc5a9,ENSMUSG00000028544,2.3087501421050574 -Slc6a1,ENSMUSG00000030310,3.344482 -Slc6a11,ENSMUSG00000030307,3.344482 -Slc6a12,ENSMUSG00000030109,2.5441343602015563 -Slc6a13,ENSMUSG00000030108,3.344482 -Slc6a14,ENSMUSG00000031089,2.228565135534529 -Slc6a15,ENSMUSG00000019894,1.829030371724644 -Slc6a18,ENSMUSG00000021612,3.344482 -Slc6a19,ENSMUSG00000021565,3.344482 -Slc6a2,ENSMUSG00000055368,2.9064252071331436 -Slc6a20a,ENSMUSG00000036814,3.344482 -Slc6a3,ENSMUSG00000021609,2.482451447387742 -Slc6a4,ENSMUSG00000020838,1.7175790633828094 -Slc6a5,ENSMUSG00000039728,2.6259526871914596 -Slc6a6,ENSMUSG00000030096,3.305087958455403 -Slc6a7,ENSMUSG00000052026,1.3827245267382147 -Slc6a8,ENSMUSG00000019558,1.5086252628979024 -Slc6a9,ENSMUSG00000028542,2.129280972533607 -Slc7a1,ENSMUSG00000041313,1.6899632492281011 -Slc7a10,ENSMUSG00000030495,3.344482 -Slc7a11,ENSMUSG00000027737,3.344482 -Slc7a2,ENSMUSG00000031596,3.038575497 -Slc7a3,ENSMUSG00000031297,1.392038782 -Slc7a5,ENSMUSG00000040010,1.702406421418041 -Slc7a6,ENSMUSG00000031904,1.5942718294983536 -Slc7a7,ENSMUSG00000000958,3.1037480305351774 -Slc7a8,ENSMUSG00000022180,1.993506119754601 -Slc7a9,ENSMUSG00000030492,3.344482 -Slc8a1,ENSMUSG00000054640,3.344482 -Slc8a2,ENSMUSG00000030376,2.3194878969016433 -Slc8a3,ENSMUSG00000079055,2.7250717612417814 -Slc8b1,ENSMUSG00000032754,2.845184432160281 -Slc9a1,ENSMUSG00000028854,1.7208587292798425 -Slc9a2,ENSMUSG00000026062,2.3012648883492948 -Slc9a3,ENSMUSG00000036123,3.344482 -Slc9a4,ENSMUSG00000026065,1.6342609622207245 -Slc9a5,ENSMUSG00000014786,1.5037427862139159 -Slc9a7,ENSMUSG00000037341,2.0491172671525995 -Slc9a8,ENSMUSG00000039463,1.8846895366891958 -Slc9a9,ENSMUSG00000031129,3.344482 -Slco1a1,ENSMUSG00000041698,3.344482 -Slco1a4,ENSMUSG00000030237,3.344482 -Slco1a5,ENSMUSG00000063975,1.793221840747343 -Slco1b2,ENSMUSG00000030236,3.344482 -Slco1c1,ENSMUSG00000030235,3.344482 -Slco2a1,ENSMUSG00000032548,2.4475298029581913 -Slco2b1,ENSMUSG00000030737,3.344482 -Slco3a1,ENSMUSG00000025790,2.82006974 -Slco4a1,ENSMUSG00000038963,2.5642434188080796 -Smox,ENSMUSG00000027333,2.105686623717096 -Smpd1,ENSMUSG00000037049,1.6633747544433106 -Smpd2,ENSMUSG00000019822,1.9400636923134362 -Smpd3,ENSMUSG00000031906,2.381547303 -Smpd4,ENSMUSG00000005899,1.3804913911408123 -Sms,ENSMUSG00000071708,2.2523274442464274 -Smurf1,ENSMUSG00000038780,1.8788595134279273 -Smurf2,ENSMUSG00000018363,2.521752154054215 -Smyd3,ENSMUSG00000055067,3.344482 -Soat1,ENSMUSG00000026600,1.9700156223723049 -Soat2,ENSMUSG00000023045,1.3527522404134948 -Sod1,ENSMUSG00000022982,2.7850384186192447 -Sod2,ENSMUSG00000006818,2.492492279480128 -Sod3,ENSMUSG00000072941,3.344482 -Sord,ENSMUSG00000027227,2.790973967738938 -Spcs1,ENSMUSG00000021917,2.8197827495114525 -Spcs2,ENSMUSG00000035227,2.9911592753749323 -Spcs3,ENSMUSG00000054408,1.553933371 -Sphk1,ENSMUSG00000061878,1.912801647708567 -Sphk2,ENSMUSG00000057342,1.2637568532593346 -Spr,ENSMUSG00000033735,1.7595808040558503 -Sptlc1,ENSMUSG00000021468,1.5300233474311882 -Sptlc2,ENSMUSG00000021036,2.055961916214845 -Sptlc3,ENSMUSG00000039092,1.727124514507138 -Sqle,ENSMUSG00000022351,1.8781804942951807 -Srd5a1,ENSMUSG00000021594,1.3006940200827535 -Srd5a2,ENSMUSG00000038541,1.7291501653126795 -Srd5a3,ENSMUSG00000029233,1.3469561368524838 -Srm,ENSMUSG00000006442,1.7669669495346403 -Srp14,ENSMUSG00000009549,2.9909265299452867 -Srp19,ENSMUSG00000014504,2.040193378883658 -Srp54a,ENSMUSG00000073079,1.261752859082216 -Srp68,ENSMUSG00000020780,1.5179262029425133 -Srp72,ENSMUSG00000036323,1.8896478383946724 -Srpk3,ENSMUSG00000002007,2.4682799881481374 -Srpra,ENSMUSG00000032042,1.9744804793011173 -Srprb,ENSMUSG00000032553,1.5023121483311683 -Srr,ENSMUSG00000001323,1.9753921752326211 -Ssr1,ENSMUSG00000021427,2.329406763638462 -Ssr2,ENSMUSG00000041355,2.679822260773885 -Ssr3,ENSMUSG00000027828,2.2283296782702653 -Ssr4,ENSMUSG00000002014,3.195979569481532 -St3gal1,ENSMUSG00000013846,1.7194754723166334 -St3gal2,ENSMUSG00000031749,1.8565974105140233 -St3gal3,ENSMUSG00000028538,2.485846368793768 -St3gal4,ENSMUSG00000032038,3.344482 -St3gal5,ENSMUSG00000056091,3.0059800314259157 -St3gal6,ENSMUSG00000022747,2.882692029120179 -St6gal1,ENSMUSG00000022885,2.592499521233833 -St6gal2,ENSMUSG00000024172,1.760637875540141 -St6galnac1,ENSMUSG00000009588,1.6180555171645312 -St6galnac2,ENSMUSG00000057286,2.5004030690954404 -St6galnac2,ENSMUSG00000110170,2.5004030690954404 -St6galnac2,ENSMUSG00000057286,3.344482 -St6galnac2,ENSMUSG00000110170,3.344482 -St6galnac3,ENSMUSG00000052544,3.344482 -St6galnac4,ENSMUSG00000079442,1.6367418851373694 -St6galnac5,ENSMUSG00000039037,3.344482 -St6galnac6,ENSMUSG00000026811,1.6428331770453624 -St8sia1,ENSMUSG00000030283,1.922240146 -St8sia4,ENSMUSG00000040710,2.640554353101123 -St8sia5,ENSMUSG00000025425,2.564496533799898 -Stambp,ENSMUSG00000006906,1.4559593710726944 -Stambpl1,ENSMUSG00000024776,1.6170110275966916 -Star,ENSMUSG00000031574,1.8031251369624752 -Stard10,ENSMUSG00000030688,1.7930403468701857 -Stard13,ENSMUSG00000016128,3.0323063149891127 -Stard3,ENSMUSG00000018167,1.5461705012800473 -Stard4,ENSMUSG00000024378,1.4827523870403596 -Stard5,ENSMUSG00000046027,2.826539614689892 -Stard6,ENSMUSG00000079608,1.4986267367865678 -Stard7,ENSMUSG00000027367,1.8954156480327662 -Stard8,ENSMUSG00000031216,2.419371911884658 -Stard9,ENSMUSG00000033705,2.591866152232267 -Stra6,ENSMUSG00000032327,1.6425776102896066 -Stt3a,ENSMUSG00000032116,1.7813293711034521 -Stt3b,ENSMUSG00000032437,2.091510698303889 -Stub1,ENSMUSG00000039615,2.644587455355405 -Stx11,ENSMUSG00000039232,2.253309552788984 -Stx12,ENSMUSG00000028879,2.015334471825478 -Stx16,ENSMUSG00000027522,2.2609622798095756 -Stx18,ENSMUSG00000029125,1.7240518506062894 -Stx19,ENSMUSG00000047854,1.760926625432611 -Stx1b,ENSMUSG00000030806,2.842155515096474 -Stx4a,ENSMUSG00000030805,1.8256440755251402 -Stx5a,ENSMUSG00000010110,1.9416554677892037 -Stx6,ENSMUSG00000026470,1.8787826035676027 -Stx7,ENSMUSG00000019998,2.252545279106199 -Stx8,ENSMUSG00000020903,2.1931310629083596 -Sucla2,ENSMUSG00000022110,2.102687761494304 -Suclg1,ENSMUSG00000052738,2.4341728213991076 -Suclg2,ENSMUSG00000061838,2.366379223891579 -Sult1a1,ENSMUSG00000030711,3.344482 -Sult1b1,ENSMUSG00000029269,3.344482 -Sult1c1,ENSMUSG00000023943,1.6016999806692667 -Sult1c2,ENSMUSG00000023122,3.344482 -Sult1e1,ENSMUSG00000029272,3.344482 -Sult2a1,ENSMUSG00000078798,3.344482 -Sult2a2,ENSMUSG00000070811,1.5901223742227717 -Sult2a3,ENSMUSG00000074375,1.272977988128563 -Sult2a4,ENSMUSG00000074377,1.0938081611702195 -Sult2a5,ENSMUSG00000078799,1.3467449235860236 -Sult2a6,ENSMUSG00000070810,1.7661983870015059 -Sult2a7,ENSMUSG00000094156,1.5489304172325034 -Sult2b1,ENSMUSG00000003271,1.1269580832663408 -Sult3a1,ENSMUSG00000069668,0.9794198751079226 -Sult4a1,ENSMUSG00000018865,3.132600990138539 -Suox,ENSMUSG00000049858,1.3850395111463718 -Suv39h1,ENSMUSG00000039231,1.2675380427690401 -Suv39h2,ENSMUSG00000026646,1.1863390444858481 -Synj1,ENSMUSG00000022973,3.344482 -Synj2,ENSMUSG00000023805,1.721421088603628 -Syvn1,ENSMUSG00000024807,1.4107584209631354 -Taf9,ENSMUSG00000052293,2.0890418978127223 -Taldo1,ENSMUSG00000025503,3.344482 -Tars1,ENSMUSG00000022241,1.4747679925651738 -Tat,ENSMUSG00000001670,3.344482 -Tbcb,ENSMUSG00000006095,2.3654312523592362 -Tbxas1,ENSMUSG00000029925,3.344482 -Tcirg1,ENSMUSG00000001750,2.632258853040062 -Tdh,ENSMUSG00000021953,1.173687147329143 -Tdo2,ENSMUSG00000028011,2.6461233634093433 -Tecr,ENSMUSG00000031708,3.344482 -Tecrl,ENSMUSG00000049537,2.339348917853427 -Tent2,ENSMUSG00000042167,1.8940725890282895 -Tent4a,ENSMUSG00000034575,1.416301756330969 -Tfrc,ENSMUSG00000022797,1.8416720719875188 -Tgds,ENSMUSG00000022130,1.3564604388911503 -Tgm1,ENSMUSG00000022218,2.1333626381599227 -Tgm2,ENSMUSG00000037820,3.344482 -Tgm3,ENSMUSG00000027401,2.631106862813789 -Tgm4,ENSMUSG00000025787,3.344482 -Tgm5,ENSMUSG00000053675,2.504319138961429 -Tgm6,ENSMUSG00000027403,0.9752061169887515 -Tgm7,ENSMUSG00000079103,1.0880368887345682 -Th,ENSMUSG00000000214,2.6331293683881554 -Tha1,ENSMUSG00000017713,1.4697597787337193 -Them4,ENSMUSG00000028145,1.545937251113854 -Them5,ENSMUSG00000028148,3.344482 -Thnsl1,ENSMUSG00000048550,1.178089980610993 -Thop1,ENSMUSG00000004929,1.2853103305118376 -Thtpa,ENSMUSG00000045691,3.344482 -Ticrr,ENSMUSG00000046591,1.526300247829371 -Tigar,ENSMUSG00000038028,1.2341762752847918 -Tiparp,ENSMUSG00000034640,2.3719439583355864 -Tk1,ENSMUSG00000025574,1.9826387010748272 -Tk2,ENSMUSG00000035824,1.4513715191909038 -Tkfc,ENSMUSG00000034371,1.4743754493385162 -Tkt,ENSMUSG00000021957,3.1110779848142527 -Tktl1,ENSMUSG00000031397,2.268398214018696 -Tktl2,ENSMUSG00000025519,0.8610340172024312 -Tm7sf2,ENSMUSG00000024799,1.3258104548831398 -Tmem54,ENSMUSG00000028786,1.7365317287358066 -Tmem91,ENSMUSG00000061702,2.0358169045057135 -Tmppe,ENSMUSG00000079260,0.9883034137889116 -Tmx3,ENSMUSG00000024614,1.8838366868439533 -Tnks,ENSMUSG00000031529,2.105807767904624 -Tnks2,ENSMUSG00000024811,2.354513451458991 -Tnni3k,ENSMUSG00000040086,1.4453033600621181 -Tnrc6b,ENSMUSG00000047888,3.344482 -Tns2,ENSMUSG00000037003,2.420325726240388 -Tomt,ENSMUSG00000078630,0.8611211882970392 -Topors,ENSMUSG00000036822,1.637127321390651 -Tpcn1,ENSMUSG00000032741,1.9625504125877462 -Tpcn2,ENSMUSG00000048677,2.3976743209810634 -Tph1,ENSMUSG00000040046,2.072420031350167 -Tph2,ENSMUSG00000006764,1.3520879501193934 -Tpi1,ENSMUSG00000023456,3.344482 -Tpk1,ENSMUSG00000029735,2.357026540003879 -Tpmt,ENSMUSG00000021376,1.7243252181075845 -Tpo,ENSMUSG00000020673,1.2543545436615133 -Tpp1,ENSMUSG00000030894,1.8619476188707793 -Tpr,ENSMUSG00000006005,2.852288754413225 -Tpsab1,ENSMUSG00000024173,3.344482 -Tpsb2,ENSMUSG00000033825,3.344482 -Tpst1,ENSMUSG00000034118,1.8076419988547279 -Tpst2,ENSMUSG00000029344,1.8596756143558708 -Tpte,ENSMUSG00000031481,2.004798649257908 -Traf7,ENSMUSG00000052752,1.570212166281246 -Trappc1,ENSMUSG00000049299,1.779589346632423 -Trappc3,ENSMUSG00000028847,1.8075415166077133 -Trappc4,ENSMUSG00000032112,2.137426827531715 -Trappc5,ENSMUSG00000040236,1.5886424656570208 -Trappc6a,ENSMUSG00000002043,1.708800924446525 -Trappc6b,ENSMUSG00000020993,2.6341317444969623 -Trdmt1,ENSMUSG00000026723,1.4261451148404791 -Treh,ENSMUSG00000032098,3.049052688 -Trex1,ENSMUSG00000049734,2.722076433139447 -Trex2,ENSMUSG00000031372,1.2126117359269306 -Trhde,ENSMUSG00000050663,3.344482 -Trim11,ENSMUSG00000020455,1.564876051650865 -Trim12c,ENSMUSG00000057143,2.3594478677354473 -Trim32,ENSMUSG00000051675,1.8798083713581768 -Trim33,ENSMUSG00000033014,2.194539675321543 -Trim5,ENSMUSG00000060441,2.6950407260910962 -Trim63,ENSMUSG00000028834,3.344482 -Trip12,ENSMUSG00000026219,2.7353658371340956 -Trit1,ENSMUSG00000028653,1.5897936883819053 -Trmt1,ENSMUSG00000001909,1.6076131244857113 -Trmt11,ENSMUSG00000019792,1.5552168604643013 -Trmt12,ENSMUSG00000037085,1.1919520093671352 -Trmu,ENSMUSG00000022386,1.534015011 -Trnt1,ENSMUSG00000013736,1.460179582 -Trp53,ENSMUSG00000059552,2.0718840448112585 -Tst,ENSMUSG00000044986,2.903139846831275 -Ttc3,ENSMUSG00000040785,3.344482 -Ttl,ENSMUSG00000027394,1.5662047769341887 -Tufm,ENSMUSG00000073838,1.5245811920002537 -Tusc3,ENSMUSG00000118664,2.7538361306640935 -Tut1,ENSMUSG00000071645,1.3140203331339304 -Tut4,ENSMUSG00000034610,3.056411203929761 -Tut7,ENSMUSG00000035248,2.0971756032063045 -Txn1,ENSMUSG00000028367,3.344482 -Txn2,ENSMUSG00000005354,2.3530773023738623 -Txnrd1,ENSMUSG00000020250,1.856771775 -Txnrd2,ENSMUSG00000075704,1.361555901 -Txnrd3,ENSMUSG00000000811,1.3130448384186535 -Tymp,ENSMUSG00000022615,0.842318 -Tyms,ENSMUSG00000025747,2.1088912182101693 -Tyr,ENSMUSG00000004651,0.842318 -Tyrp1,ENSMUSG00000005994,3.344482 -Uap1,ENSMUSG00000026670,1.944104667617727 -Uap1l1,ENSMUSG00000026956,1.4822932186179942 -Uba1,ENSMUSG00000001924,2.058482730557038 -Uba2,ENSMUSG00000052997,2.0020752136808007 -Uba3,ENSMUSG00000030061,1.68695594 -Uba5,ENSMUSG00000032557,1.7025635024585533 -Uba6,ENSMUSG00000035898,1.6955218562964325 -Uba7,ENSMUSG00000032596,2.0469791444898857 -Ubac2,ENSMUSG00000041765,2.103451899534679 -Ube2a,ENSMUSG00000016308,1.7824212231872334 -Ube2b,ENSMUSG00000020390,3.344482 -Ube2c,ENSMUSG00000001403,3.344482 -Ube2d1,ENSMUSG00000019927,2.0156673742477156 -Ube2d2a,ENSMUSG00000091896,2.8978425821939764 -Ube2d2b,ENSMUSG00000063447,0.842318 -Ube2d3,ENSMUSG00000078578,3.344482 -Ube2e1,ENSMUSG00000021774,2.143058474523708 -Ube2e2,ENSMUSG00000058317,3.344482 -Ube2e3,ENSMUSG00000027011,2.6225454700086006 -Ube2f,ENSMUSG00000034343,1.6638698996582546 -Ube2g1,ENSMUSG00000020794,2.5253609823599117 -Ube2g2,ENSMUSG00000009293,1.431147995059695 -Ube2h,ENSMUSG00000039159,2.768221226060247 -Ube2i,ENSMUSG00000015120,2.5668091741930623 -Ube2j1,ENSMUSG00000028277,1.6785951283290852 -Ube2j2,ENSMUSG00000023286,1.8431515245708996 -Ube2k,ENSMUSG00000029203,3.0378162697586504 -Ube2l3,ENSMUSG00000038965,2.3275078992592038 -Ube2l6,ENSMUSG00000027078,3.289860962032651 -Ube2m,ENSMUSG00000005575,2.194879639265027 -Ube2n,ENSMUSG00000074781,2.401857634738868 -Ube2o,ENSMUSG00000020802,1.7189635514917057 -Ube2q1,ENSMUSG00000042572,1.5352627476519367 -Ube2q2,ENSMUSG00000032307,1.849692344646507 -Ube2ql1,ENSMUSG00000052981,2.0979259100689864 -Ube2r2,ENSMUSG00000036241,2.510355047901374 -Ube2s,ENSMUSG00000060860,3.344482 -Ube2t,ENSMUSG00000026429,1.2395834732531281 -Ube2u,ENSMUSG00000069733,2.572686889789109 -Ube2w,ENSMUSG00000025939,2.472176643582236 -Ube2z,ENSMUSG00000014349,1.4823194469660637 -Ube3a,ENSMUSG00000025326,3.344482 -Ube3b,ENSMUSG00000029577,1.4697620728432712 -Ube3c,ENSMUSG00000039000,2.474242972 -Ube4a,ENSMUSG00000059890,1.837045739121002 -Ube4b,ENSMUSG00000028960,2.222346835975047 -Ubiad1,ENSMUSG00000047719,1.333423178479824 -Ubr1,ENSMUSG00000027272,2.148731936047814 -Ubr2,ENSMUSG00000023977,2.085808348104883 -Ubr3,ENSMUSG00000044308,2.772130213668812 -Ubr4,ENSMUSG00000066036,1.7241838062818258 -Ubr5,ENSMUSG00000037487,2.695735794454991 -Ubr7,ENSMUSG00000041712,1.3671362097975073 -Uck1,ENSMUSG00000002550,1.408979937012914 -Uck2,ENSMUSG00000026558,1.5106399782804614 -Uckl1,ENSMUSG00000089917,1.7478429133055104 -Ucp1,ENSMUSG00000031710,1.9506311896700295 -Ucp2,ENSMUSG00000033685,3.344482 -Ucp3,ENSMUSG00000032942,3.273011320822738 -Ufd1,ENSMUSG00000005262,1.8039379995874645 -Ugcg,ENSMUSG00000028381,1.7896974418691747 -Ugdh,ENSMUSG00000029201,2.368169978785614 -Uggt1,ENSMUSG00000037470,1.644860514733669 -Uggt2,ENSMUSG00000042104,1.821236647485368 -Ugp2,ENSMUSG00000001891,2.0298597288498375 -Ugt1a1,ENSMUSG00000089960,1.8641018382843622 -Ugt1a2,ENSMUSG00000090171,3.344482 -Ugt1a5,ENSMUSG00000089943,1.9394657030228064 -Ugt1a6a,ENSMUSG00000054545,2.057596817658602 -Ugt1a6b,ENSMUSG00000090145,1.1993042000338348 -Ugt1a9,ENSMUSG00000090175,0.9224109465456745 -Ugt2a1,ENSMUSG00000106677,0.842318 -Ugt2a3,ENSMUSG00000035780,2.0524536452166178 -Ugt2b1,ENSMUSG00000035836,2.654244980448545 -Ugt2b38,ENSMUSG00000061906,3.344482 -Ugt3a1,ENSMUSG00000049152,3.344482 -Ugt3a2,ENSMUSG00000072664,3.344482 -Ugt8a,ENSMUSG00000032854,3.344482 -Uhrf1,ENSMUSG00000001228,1.8703228997054449 -Uhrf2,ENSMUSG00000024817,2.2369153056061166 -Umps,ENSMUSG00000022814,1.308820072536132 -Uox,ENSMUSG00000028186,2.5651857623779772 -Upb1,ENSMUSG00000033427,1.9312148268964977 -Upp1,ENSMUSG00000020407,2.691017011514971 -Upp2,ENSMUSG00000026839,2.9308130614602366 -Uprt,ENSMUSG00000073016,1.3974017717904337 -Uqcr10,ENSMUSG00000059534,3.344482 -Uqcr11,ENSMUSG00000020163,3.344482 -Uqcrb,ENSMUSG00000021520,3.344482 -Uqcrc1,ENSMUSG00000025651,3.0757437702591663 -Uqcrc2,ENSMUSG00000030884,2.4505128954107085 -Uqcrfs1,ENSMUSG00000038462,2.7964939157815043 -Uqcrh,ENSMUSG00000063882,3.344482 -Uqcrh-ps1,ENSMUSG00000037438,0.842318 -Uqcrq,ENSMUSG00000044894,3.344482 -Urad,ENSMUSG00000075543,1.2328058405680031 -Urah,ENSMUSG00000025481,1.400317024302193 -Uroc1,ENSMUSG00000034456,3.344482 -Urod,ENSMUSG00000028684,1.8524111532577896 -Uros,ENSMUSG00000030979,1.3895299262019531 -Usp1,ENSMUSG00000028560,1.7314596387877128 -Usp10,ENSMUSG00000031826,1.6320017979275898 -Usp11,ENSMUSG00000031066,1.6346575155378493 -Usp12,ENSMUSG00000029640,1.687666671395498 -Usp13,ENSMUSG00000056900,1.5268686979389758 -Usp14,ENSMUSG00000047879,2.1790423570382798 -Usp15,ENSMUSG00000020124,2.2714197320706098 -Usp16,ENSMUSG00000025616,1.7080300694305552 -Usp17la,ENSMUSG00000054568,3.320560194278453 -Usp17lb,ENSMUSG00000062369,3.344482 -Usp17lc,ENSMUSG00000058976,1.449058083685175 -Usp17ld,ENSMUSG00000057321,0.842318 -Usp17le,ENSMUSG00000043073,1.0884376215722735 -Usp18,ENSMUSG00000030107,2.632233254785819 -Usp19,ENSMUSG00000006676,1.7247848614262002 -Usp2,ENSMUSG00000032010,2.2017269661437626 -Usp20,ENSMUSG00000026854,1.613454930179268 -Usp21,ENSMUSG00000053483,1.3697717176792323 -Usp22,ENSMUSG00000042506,2.2855839810771372 -Usp24,ENSMUSG00000028514,2.095171498131394 -Usp25,ENSMUSG00000022867,2.0228698029006345 -Usp26,ENSMUSG00000055780,1.5579638909705296 -Usp27x,ENSMUSG00000046269,1.0448167059568674 -Usp28,ENSMUSG00000032267,1.8063473672174999 -Usp29,ENSMUSG00000051527,3.344482 -Usp3,ENSMUSG00000032376,3.177376656671604 -Usp30,ENSMUSG00000029592,1.4550104205045216 -Usp31,ENSMUSG00000063317,1.712070416794758 -Usp32,ENSMUSG00000000804,2.706563529533924 -Usp33,ENSMUSG00000025437,2.2258280197737927 -Usp34,ENSMUSG00000056342,3.344482 -Usp35,ENSMUSG00000035713,1.3022390132852502 -Usp36,ENSMUSG00000033909,1.5866128416467677 -Usp37,ENSMUSG00000033364,2.152775606781759 -Usp38,ENSMUSG00000038250,1.4279317935130493 -Usp4,ENSMUSG00000032612,1.7525466750504477 -Usp40,ENSMUSG00000005501,1.8976235887402328 -Usp42,ENSMUSG00000051306,1.299591208645224 -Usp43,ENSMUSG00000020905,0.9560038406644246 -Usp44,ENSMUSG00000020020,1.4032462221418558 -Usp45,ENSMUSG00000040455,1.8083640755064507 -Usp46,ENSMUSG00000054814,2.3043033503473698 -Usp47,ENSMUSG00000059263,2.183096552045758 -Usp48,ENSMUSG00000043411,1.9069017790900995 -Usp49,ENSMUSG00000090115,1.2274701585079746 -Usp5,ENSMUSG00000038429,1.6216744631447622 -Usp51,ENSMUSG00000067215,1.5463913553997437 -Usp7,ENSMUSG00000022710,1.873737358 -Usp8,ENSMUSG00000027363,1.779927079115993 -Usp9x,ENSMUSG00000031010,2.7722073049761837 -Usp9y,ENSMUSG00000069044,1.5149756477815914 -Ust,ENSMUSG00000047712,3.344482 -Uxs1,ENSMUSG00000057363,1.616573093821257 -Vapb,ENSMUSG00000054455,1.892300872355278 -Vars1,ENSMUSG00000007029,1.728253157575018 -Vcp,ENSMUSG00000028452,3.0714636079438846 -Vkorc1,ENSMUSG00000096145,2.330288604426336 -Vmn2r37,ENSMUSG00000066828,1.4967090298016397 -Vnn1,ENSMUSG00000037440,1.6173170967422636 -Vnn3,ENSMUSG00000020010,2.1328803097718088 -Vps29,ENSMUSG00000029462,2.2626276879303524 -Wars1,ENSMUSG00000021266,1.5253752115555634 -Wwox,ENSMUSG00000004637,3.344482 -Wwp1,ENSMUSG00000041058,2.675174219196344 -Wwp2,ENSMUSG00000031930,1.9535164801037863 -Xdh,ENSMUSG00000024066,3.344482 -Xpo6,ENSMUSG00000000131,1.8330038504062771 -Xpo7,ENSMUSG00000022100,2.5059737860307116 -Xpr1,ENSMUSG00000026469,2.6341566630546556 -Xylb,ENSMUSG00000035769,1.9444940236564303 -Xylt1,ENSMUSG00000030657,3.008169204100133 -Xylt2,ENSMUSG00000020868,1.3957796859884235 -Yars1,ENSMUSG00000028811,1.7544100334649915 -Ykt6,ENSMUSG00000002741,1.4667722021226768 -Zc3hav1,ENSMUSG00000029826,2.6401764729314365 -Zdhhc1,ENSMUSG00000039199,1.5189864565602782 -Zdhhc11,ENSMUSG00000069189,0.9229659899910945 -Zdhhc12,ENSMUSG00000015335,1.4478557752142407 -Zdhhc13,ENSMUSG00000030471,1.412783565098695 -Zdhhc14,ENSMUSG00000034265,3.344482 -Zdhhc15,ENSMUSG00000033906,1.1505112047650523 -Zdhhc16,ENSMUSG00000025157,1.3608309846419313 -Zdhhc17,ENSMUSG00000035798,2.357920526383778 -Zdhhc18,ENSMUSG00000037553,1.7660165769901373 -Zdhhc19,ENSMUSG00000052363,1.8878853981328467 -Zdhhc2,ENSMUSG00000039470,2.4474792932238967 -Zdhhc20,ENSMUSG00000021969,2.4658054517882837 -Zdhhc21,ENSMUSG00000028403,1.9591429932762077 -Zdhhc22,ENSMUSG00000048483,1.5787697446542142 -Zdhhc23,ENSMUSG00000036304,1.053716154125168 -Zdhhc24,ENSMUSG00000006463,1.2492899086698377 -Zdhhc3,ENSMUSG00000025786,1.542988517725778 -Zdhhc4,ENSMUSG00000001844,1.4068179990445986 -Zdhhc5,ENSMUSG00000034075,1.3813069475003434 -Zdhhc6,ENSMUSG00000024982,1.605184182650977 -Zdhhc7,ENSMUSG00000031823,1.3298210292056818 -Zdhhc8,ENSMUSG00000060166,1.5827323078460056 -Zdhhc9,ENSMUSG00000036985,1.521155448853325 -Zmpste24,ENSMUSG00000043207,1.6271107043552893 -Znrf1,ENSMUSG00000033545,2.3490952895548363 -Znrf2,ENSMUSG00000058446,1.8444466809660818 -Zswim2,ENSMUSG00000034552,1.0433937457771398 \ No newline at end of file +symbol,ensembl_id,sccellfie_threshold +A4galt,ENSMUSG00000047878,2.493392887492253 +A4gnt,ENSMUSG00000037953,0.911013001 +Aaas,ENSMUSG00000036678,1.4732659157184338 +Aacs,ENSMUSG00000029482,1.6024100680695 +Aadac,ENSMUSG00000027761,3.344482 +Aadat,ENSMUSG00000057228,2.7170193739054325 +Aanat,ENSMUSG00000020804,0.9635438620868174 +Aars1,ENSMUSG00000031960,1.671185458666224 +Aasdh,ENSMUSG00000055923,1.524130379 +Aasdhppt,ENSMUSG00000025894,1.4335514259856958 +Aass,ENSMUSG00000029695,3.344482 +Abat,ENSMUSG00000057880,2.3246732534021923 +Abca1,ENSMUSG00000015243,3.344482 +Abca3,ENSMUSG00000024130,1.8007487561630795 +Abca4,ENSMUSG00000028125,3.344482 +Abca8b,ENSMUSG00000020620,2.108122441120302 +Abcb11,ENSMUSG00000027048,1.2151442631102662 +Abcb1a,ENSMUSG00000040584,3.344482 +Abcb4,ENSMUSG00000042476,1.8220185592748932 +Abcb6,ENSMUSG00000026198,1.1349997866408914 +Abcc1,ENSMUSG00000023088,1.895718888899544 +Abcc2,ENSMUSG00000025194,3.344482 +Abcc3,ENSMUSG00000020865,2.157937763054824 +Abcc4,ENSMUSG00000032849,2.1886798779447 +Abcc5,ENSMUSG00000022822,2.488818973701028 +Abcc8,ENSMUSG00000040136,1.92710806116626 +Abcc9,ENSMUSG00000030249,3.344482 +Abcd1,ENSMUSG00000031378,1.5600565940206272 +Abcd2,ENSMUSG00000055782,2.131667628370121 +Abcd3,ENSMUSG00000028127,1.990164489456006 +Abcg1,ENSMUSG00000024030,1.993303267 +Abcg2,ENSMUSG00000029802,2.9950175558036243 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+Polk,ENSMUSG00000021668,1.7252760484921394 +Poll,ENSMUSG00000025218,1.3025988389989795 +Polm,ENSMUSG00000020474,1.651082721024855 +Poln,ENSMUSG00000045102,1.6164485621938054 +Polq,ENSMUSG00000034206,1.311487385152805 +Polr1a,ENSMUSG00000049553,1.368381105908051 +Polr1b,ENSMUSG00000027395,2.1397719047479846 +Polr1c,ENSMUSG00000067148,1.601377951159284 +Polr1d,ENSMUSG00000029642,2.603500851952876 +Polr1e,ENSMUSG00000028318,1.144688677299907 +Polr1h,ENSMUSG00000036315,1.483444198398002 +Polr2a,ENSMUSG00000005198,1.9892638944629224 +Polr2b,ENSMUSG00000029250,1.5998562897755293 +Polr2c,ENSMUSG00000031783,1.9336086292085797 +Polr2d,ENSMUSG00000024258,1.5169560286036197 +Polr2e,ENSMUSG00000004667,1.983041223317458 +Polr2f,ENSMUSG00000033020,2.277278429721469 +Polr2g,ENSMUSG00000071662,2.0198204436316325 +Polr2h,ENSMUSG00000021018,1.5027730676180329 +Polr2i,ENSMUSG00000019738,1.913097707716193 +Polr2j,ENSMUSG00000039771,2.006933128174594 +Polr2k,ENSMUSG00000045996,1.975272783848804 +Polr2l,ENSMUSG00000038489,2.0495187767430343 +Polr3a,ENSMUSG00000025280,1.5073820518946557 +Polr3b,ENSMUSG00000034453,1.5511913116953358 +Polr3c,ENSMUSG00000028099,1.4734047091875568 +Polr3d,ENSMUSG00000000776,1.392628970281372 +Polr3e,ENSMUSG00000030880,1.861002615266668 +Polr3f,ENSMUSG00000027427,1.4208816286860515 +Polr3g,ENSMUSG00000035834,1.2407068834810846 +Polr3gl,ENSMUSG00000028104,1.6119129516233444 +Polr3h,ENSMUSG00000022476,1.413176651341289 +Polr3k,ENSMUSG00000038628,1.6252558860120867 +Polrmt,ENSMUSG00000020329,1.5640326839362282 +Pom121,ENSMUSG00000053293,1.471457208 +Pomgnt1,ENSMUSG00000028700,1.7517263259112326 +Pomt1,ENSMUSG00000039254,1.4473335353314811 +Pomt2,ENSMUSG00000034126,1.3756396054716085 +Pon1,ENSMUSG00000002588,2.3132376583579948 +Pon2,ENSMUSG00000032667,2.7079254660489127 +Pon3,ENSMUSG00000029759,2.519349463659444 +Por,ENSMUSG00000005514,2.2457003890012706 +Porcn,ENSMUSG00000031169,1.7632023229068885 +Ppa1,ENSMUSG00000020089,2.124917721798595 +Ppa2,ENSMUSG00000028013,1.758314891573556 +Ppat,ENSMUSG00000029246,1.3212695183812706 +Ppcdc,ENSMUSG00000063849,1.659911776923348 +Ppcs,ENSMUSG00000028636,1.3982089016116463 +Ppia,ENSMUSG00000071866,3.344482 +Ppib,ENSMUSG00000032383,3.344482 +Ppic,ENSMUSG00000024538,3.344482 +Ppid,ENSMUSG00000027804,1.8452564194995376 +Ppie,ENSMUSG00000028651,1.5384849507642473 +Ppif,ENSMUSG00000021868,1.3058382266000277 +Ppig,ENSMUSG00000042133,2.6159746829212613 +Ppih,ENSMUSG00000060288,1.468122193262965 +Ppil1,ENSMUSG00000024007,1.5037302824834875 +Ppil2,ENSMUSG00000022771,1.8991714794122416 +Ppil3,ENSMUSG00000026035,1.4280141561870563 +Ppil4,ENSMUSG00000015757,1.7927870399226258 +Ppip5k1,ENSMUSG00000033526,2.159394632697256 +Ppip5k2,ENSMUSG00000040648,1.704733723559159 +Ppm1l,ENSMUSG00000027784,3.344482 +Ppox,ENSMUSG00000062729,1.6392928145732784 +Ppp1r3b,ENSMUSG00000046794,2.082722024 +Ppp1r3c,ENSMUSG00000067279,2.3078593445927296 +Ppt1,ENSMUSG00000028657,2.2171853241972697 +Ppt2,ENSMUSG00000015474,1.578676327404981 +Ppwd1,ENSMUSG00000021713,1.6401192998933445 +Prdx1,ENSMUSG00000028691,3.344482 +Prdx2,ENSMUSG00000005161,3.344482 +Prdx3,ENSMUSG00000024997,1.8542604705956347 +Prdx5,ENSMUSG00000024953,3.344482 +Prdx6,ENSMUSG00000026701,3.344482 +Preb,ENSMUSG00000045302,1.8168573266881007 +Prep,ENSMUSG00000019849,1.4127701230039575 +Prkd1,ENSMUSG00000002688,3.344482 +Prkn,ENSMUSG00000023826,3.344482 +Prodh,ENSMUSG00000003526,2.0869880517078103 +Prodh2,ENSMUSG00000036892,3.344482 +Prps1,ENSMUSG00000031432,1.5333472632066616 +Prps1l1,ENSMUSG00000092305,2.677330346391685 +Prps2,ENSMUSG00000025742,1.3330640852233469 +Prune1,ENSMUSG00000015711,1.6523430393226666 +Psap,ENSMUSG00000004207,3.344482 +Psat1,ENSMUSG00000024640,2.037107320637712 +Psma1,ENSMUSG00000030751,2.564891472086077 +Psma2,ENSMUSG00000015671,2.9241769045626027 +Psma3,ENSMUSG00000060073,3.2618911927514955 +Psma4,ENSMUSG00000032301,2.6218337163010577 +Psma5,ENSMUSG00000068749,2.3482422042765987 +Psma7,ENSMUSG00000027566,3.344482 +Psma8,ENSMUSG00000036743,1.3840280451874605 +Psmb1,ENSMUSG00000014769,3.344482 +Psmb10,ENSMUSG00000031897,1.8740699133453176 +Psmb11,ENSMUSG00000072423,1.5957276568816172 +Psmb2,ENSMUSG00000028837,2.898569667215671 +Psmb3,ENSMUSG00000069744,3.078410865500832 +Psmb4,ENSMUSG00000005779,2.8786160425840888 +Psmb5,ENSMUSG00000022193,2.8283888686980267 +Psmb6,ENSMUSG00000018286,3.344482 +Psmb7,ENSMUSG00000026750,2.317256737111325 +Psmb8,ENSMUSG00000024338,3.344482 +Psmb9,ENSMUSG00000096727,3.1988117659592663 +Psmd1,ENSMUSG00000026229,2.242268577407217 +Psmd10,ENSMUSG00000031429,1.3964955990279362 +Psmd11,ENSMUSG00000017428,2.3040216356926004 +Psmd12,ENSMUSG00000020720,2.077533333280678 +Psmd13,ENSMUSG00000025487,2.001939850472274 +Psmd14,ENSMUSG00000026914,2.253897890066433 +Psmd2,ENSMUSG00000006998,2.105000424191405 +Psmd4,ENSMUSG00000005625,2.5778592581130857 +Psmd5,ENSMUSG00000026869,1.597004931877055 +Psmd6,ENSMUSG00000021737,2.1307987128168078 +Psmd7,ENSMUSG00000039067,2.619406036910478 +Psmd8,ENSMUSG00000030591,2.4385205713749785 +Psmd9,ENSMUSG00000029440,1.7248105349419551 +Psmg1,ENSMUSG00000022913,1.4089311541516287 +Psmg2,ENSMUSG00000024537,1.617351529027397 +Psmg3,ENSMUSG00000029551,1.458175569769763 +Psmg4,ENSMUSG00000071451,1.6559658811478268 +Psph,ENSMUSG00000029446,1.5757474828233966 +Ptdss1,ENSMUSG00000021518,1.603308499588254 +Ptdss2,ENSMUSG00000025495,1.5663003845932646 +Pten,ENSMUSG00000013663,3.005182114070504 +Ptgds,ENSMUSG00000015090,3.344482 +Ptges,ENSMUSG00000050737,1.890315833956273 +Ptges2,ENSMUSG00000026820,1.3201814956846276 +Ptges3,ENSMUSG00000071072,2.840770925756164 +Ptgis,ENSMUSG00000017969,2.615341631522615 +Ptgr1,ENSMUSG00000028378,1.9122553986128128 +Ptgs1,ENSMUSG00000047250,3.30164465752122 +Ptgs2,ENSMUSG00000032487,2.348888500098222 +Ptpmt1,ENSMUSG00000063235,1.7330458603833552 +Ptprq,ENSMUSG00000035916,2.342740108822739 +Ptrh1,ENSMUSG00000053746,1.0191375171094967 +Ptrh2,ENSMUSG00000072582,1.4052942272137463 +Pts,ENSMUSG00000032067,1.7141585538524773 +Pus1,ENSMUSG00000029507,1.29723312072964 +Pxdn,ENSMUSG00000020674,1.695513030954251 +Pxylp1,ENSMUSG00000043587,2.1056209225980664 +Pycr1,ENSMUSG00000025140,1.1137597783435522 +Pycr2,ENSMUSG00000026520,1.6778966083915885 +Pycr3,ENSMUSG00000022571,1.4791840725791066 +Pygb,ENSMUSG00000033059,2.1036510463161053 +Pygl,ENSMUSG00000021069,2.832484539372109 +Pygm,ENSMUSG00000032648,3.344482 +Pyurf,ENSMUSG00000043162,1.427776377399896 +Qars1,ENSMUSG00000032604,1.6044228847398665 +Qdpr,ENSMUSG00000015806,2.960265299260475 +Qpct,ENSMUSG00000024084,3.311487571806402 +Qprt,ENSMUSG00000030674,2.1277548360066683 +Qtrt1,ENSMUSG00000002825,1.5248205835785944 +Qtrt2,ENSMUSG00000022704,1.508090347521173 +Rab1a,ENSMUSG00000020149,2.962939981874213 +Rab6b,ENSMUSG00000032549,3.344482 +Rab8b,ENSMUSG00000036943,2.324431489078389 +Rad1,ENSMUSG00000022248,1.2303114182798272 +Rad18,ENSMUSG00000030254,1.4630049676021202 +Rad9a,ENSMUSG00000024824,1.3858560956299837 +Rae1,ENSMUSG00000027509,1.6706574620954289 +Rag1,ENSMUSG00000061311,3.344482 +Ralbp1,ENSMUSG00000024096,2.579421837457037 +Ranbp2,ENSMUSG00000003226,2.090456708308825 +Rars1,ENSMUSG00000018848,1.5877188264585027 +Rbak,ENSMUSG00000061898,1.444026667853376 +Rbbp6,ENSMUSG00000030779,2.4088697658046545 +Rbks,ENSMUSG00000029136,1.6279174942376242 +Rbp1,ENSMUSG00000046402,3.344482 +Rbp2,ENSMUSG00000032454,3.344482 +Rbp3,ENSMUSG00000041534,3.344482 +Rbp4,ENSMUSG00000024990,3.344482 +Rchy1,ENSMUSG00000029397,1.94949077248472 +Rdh1,ENSMUSG00000089789,1.136642088488142 +Rdh10,ENSMUSG00000025921,1.668970099642784 +Rdh11,ENSMUSG00000066441,1.3756199156251825 +Rdh12,ENSMUSG00000021123,2.889771445585166 +Rdh13,ENSMUSG00000008435,1.405009357971215 +Rdh14,ENSMUSG00000020621,1.6012498694562416 +Rdh16,ENSMUSG00000069456,3.344482 +Rdh16f2,ENSMUSG00000074639,3.344482 +Rdh19,ENSMUSG00000054052,1.2388946180206415 +Rdh5,ENSMUSG00000025350,2.88622885 +Rdh7,ENSMUSG00000040134,3.344482 +Rdh8,ENSMUSG00000053773,3.344482 +Rdh9,ENSMUSG00000056148,1.044251972 +Renbp,ENSMUSG00000031387,2.306234139799592 +Rev3l,ENSMUSG00000019841,3.2034044239466644 +Rfc5,ENSMUSG00000029363,1.2297862863897615 +Rfk,ENSMUSG00000024712,1.5909938372867527 +Rfwd3,ENSMUSG00000033596,1.7267975735509709 +Rgn,ENSMUSG00000023070,2.972536561829463 +Rhag,ENSMUSG00000023926,3.344482 +Rhbg,ENSMUSG00000104445,2.8863891160712614 +Rhcg,ENSMUSG00000030549,3.344482 +Ring1,ENSMUSG00000024325,1.6044133052373983 +Rlbp1,ENSMUSG00000039194,3.344482 +Rnf103,ENSMUSG00000052656,1.6735699098668293 +Rnf115,ENSMUSG00000028098,1.9523396992475184 +Rnf123,ENSMUSG00000041528,1.682764262037982 +Rnf125,ENSMUSG00000033107,2.6923804463961303 +Rnf126,ENSMUSG00000035890,1.5332151997918522 +Rnf128,ENSMUSG00000031438,1.9033633712953413 +Rnf13,ENSMUSG00000036503,2.5348382030394463 +Rnf130,ENSMUSG00000020376,2.532464967039581 +Rnf133,ENSMUSG00000051956,1.131614031174789 +Rnf138,ENSMUSG00000024317,1.7729673404807516 +Rnf139,ENSMUSG00000037075,1.732227147288801 +Rnf14,ENSMUSG00000060450,2.733148732326088 +Rnf144a,ENSMUSG00000020642,1.9744965012239768 +Rnf144b,ENSMUSG00000038068,1.767642212336174 +Rnf146,ENSMUSG00000038876,1.6993238310848509 +Rnf149,ENSMUSG00000048234,1.5868166439524438 +Rnf152,ENSMUSG00000047496,3.1295463033433157 +Rnf167,ENSMUSG00000040746,1.8815496285545568 +Rnf180,ENSMUSG00000021720,1.7053748905311257 +Rnf182,ENSMUSG00000044164,2.900598437626728 +Rnf185,ENSMUSG00000020448,1.6281516948832202 +Rnf187,ENSMUSG00000020496,3.344482 +Rnf19a,ENSMUSG00000022280,1.8006009681184714 +Rnf19b,ENSMUSG00000028793,1.5641471493633212 +Rnf2,ENSMUSG00000026484,1.6575864095574175 +Rnf20,ENSMUSG00000028309,1.693187751310974 +Rnf216,ENSMUSG00000045078,2.2160041481939543 +Rnf217,ENSMUSG00000063760,1.6677720013953272 +Rnf25,ENSMUSG00000026171,1.5272643672223132 +Rnf31,ENSMUSG00000047098,1.426302121416671 +Rnf40,ENSMUSG00000030816,1.324464949288397 +Rnf41,ENSMUSG00000025373,1.654264025 +Rnf5,ENSMUSG00000015478,1.7674829593192658 +Rnf8,ENSMUSG00000090083,1.601554627 +Rngtt,ENSMUSG00000028274,2.088836052778103 +Rnmt,ENSMUSG00000009535,1.6585128669917413 +Rnpep,ENSMUSG00000041926,1.889383445717009 +Rpe,ENSMUSG00000026005,1.3791137720764253 +Rpe65,ENSMUSG00000028174,3.344482 +Rpia,ENSMUSG00000053604,1.4205970158128367 +Rpl36a,ENSMUSG00000079435,3.344482 +Rpn1,ENSMUSG00000030062,2.1926290140216635 +Rpn2,ENSMUSG00000027642,2.5915960442352066 +Rpp14,ENSMUSG00000023156,1.3266838616475898 +Rpusd4,ENSMUSG00000032044,1.2595950636301965 +Rrbp1,ENSMUSG00000027422,3.344482 +Rrm1,ENSMUSG00000030978,1.929834819458808 +Rrm2,ENSMUSG00000020649,3.344482 +Rrm2b,ENSMUSG00000022292,3.344482 +Rtca,ENSMUSG00000000339,1.464716781946257 +Rwdd2a,ENSMUSG00000032417,1.5248681102551314 +Sacm1l,ENSMUSG00000025240,1.9922772980883772 +Sae1,ENSMUSG00000052833,1.9538082499735645 +Sapcd1,ENSMUSG00000036185,2.7699649165965576 +Sar1b,ENSMUSG00000020386,2.036168500725568 +Sardh,ENSMUSG00000009614,2.253592304091518 +Sars1,ENSMUSG00000068739,2.2528274903126047 +Sat1,ENSMUSG00000025283,3.344482 +Sat2,ENSMUSG00000069835,1.6448657064611103 +Satl1,ENSMUSG00000025527,3.344482 +Sc5d,ENSMUSG00000032018,1.7596609781662966 +Scarb1,ENSMUSG00000037936,1.9803231705541957 +Scarf2,ENSMUSG00000012017,1.7496520534560014 +Sccpdh,ENSMUSG00000038936,1.876206594185448 +Scd1,ENSMUSG00000037071,3.344482 +Scd2,ENSMUSG00000025203,3.344482 +Scd3,ENSMUSG00000025202,1.3298839928614756 +Scly,ENSMUSG00000026307,1.4378576463246446 +Scn10a,ENSMUSG00000034533,3.344482 +Scn11a,ENSMUSG00000034115,3.344482 +Scn1a,ENSMUSG00000064329,3.344482 +Scn2a,ENSMUSG00000075318,3.344482 +Scn3a,ENSMUSG00000057182,2.202244212198973 +Scn4a,ENSMUSG00000001027,3.344482 +Scn5a,ENSMUSG00000032511,1.707426304553458 +Scn7a,ENSMUSG00000034810,3.344482 +Scn8a,ENSMUSG00000023033,3.344482 +Scn9a,ENSMUSG00000075316,2.550135122117076 +Scnn1a,ENSMUSG00000030340,2.155291567699985 +Scnn1b,ENSMUSG00000030873,1.4711879377482906 +Scnn1g,ENSMUSG00000000216,1.7007023680688829 +Scp2,ENSMUSG00000028603,3.140565239237276 +Sdc1,ENSMUSG00000020592,2.5287319163294155 +Sdha,ENSMUSG00000021577,2.659261555595542 +Sdhb,ENSMUSG00000009863,2.8964789354429508 +Sdhc,ENSMUSG00000058076,2.065301421191725 +Sdhd,ENSMUSG00000000171,2.050330141255342 +Sdr16c5,ENSMUSG00000028236,1.5657576782717098 +Sdr42e1,ENSMUSG00000034308,1.077878497525402 +Sdr9c7,ENSMUSG00000040127,0.8747593909775868 +Sds,ENSMUSG00000029597,1.9373937566684971 +Sdsl,ENSMUSG00000029596,1.4764527480095926 +Sec11a,ENSMUSG00000025724,2.248329357022402 +Sec11c,ENSMUSG00000024516,2.593033791959037 +Sec13,ENSMUSG00000030298,1.955923190326242 +Sec16a,ENSMUSG00000026924,1.5226512854899026 +Sec22b,ENSMUSG00000027879,1.7174472047508444 +Sec23a,ENSMUSG00000020986,1.8318709097739363 +Sec24a,ENSMUSG00000036391,1.9595878581994008 +Sec31a,ENSMUSG00000035325,1.8183454908746424 +Sec61a1,ENSMUSG00000030082,1.8873721631579443 +Sec61b,ENSMUSG00000053317,3.344482 +Sec61g,ENSMUSG00000078974,3.344482 +Sec62,ENSMUSG00000027706,3.344482 +Sec63,ENSMUSG00000019802,2.0971111838483383 +Seh1l,ENSMUSG00000079614,1.469841232734972 +Sel1l,ENSMUSG00000020964,2.337435903149589 +Selenoi,ENSMUSG00000075703,1.8204306612310663 +Selenos,ENSMUSG00000075701,2.4100076237540384 +Sephs1,ENSMUSG00000026662,1.471630470713766 +Sephs2,ENSMUSG00000049091,1.7858900545266374 +Serp1,ENSMUSG00000027808,2.602701270999165 +Serpina1a,ENSMUSG00000066366,3.344482 +Serpina1b,ENSMUSG00000071178,3.344482 +Serpina1d,ENSMUSG00000071177,3.344482 +Serpina1e,ENSMUSG00000072849,3.344482 +Serpina3c,ENSMUSG00000066361,2.047119543644316 +Serpina3f,ENSMUSG00000066363,3.344482 +Serpina3g,ENSMUSG00000041481,3.344482 +Serpina3i,ENSMUSG00000079014,1.0733865407264784 +Serpina3k,ENSMUSG00000058207,3.344482 +Serpina3m,ENSMUSG00000079012,2.7247885608396154 +Serpina3n,ENSMUSG00000021091,2.588799480208777 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