tissue_oo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load in packages relevant to function and SVM classifier "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load in packages\n",
    "import gzip\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import time\n",
    "import sklearn as sk\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import classification_report\n",
    "import os\n",
    "from os.path import exists\n",
    "from collections import Counter\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import dask.dataframe as dd\n",
    "import time\n",
    "import multiprocessing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create empty lists to contain X and Y \n",
    "X = []\n",
    "Y = []\n",
    "# Load in data from RNA exp .gz files - uncompress to .tsv\n",
    "cancer_type_list = [\"BLCA\",\"BRCA\",\"CESC\",\"COAD\",\"GBM\",\"HNSC\",\"KIRC\",\"KIRP\",\"LAML\",\"LGG\",\"LIHC\",\"LUAD\",\"LUSC\",\"OV\",\"PAAD\",\"PRAD\",\"READ\",\"SKCM\",\"STAD\",\"THCA\",\"UCEC\"]\n",
    "for cancer_type in cancer_type_list:\n",
    "    filename_gz = f'/Users/ngirmay//Downloads/exp_seq.{cancer_type}-US.tsv.gz'\n",
    "    filename = f'/Users/ngirmay//Downloads/exp_seq.{cancer_type}-US.tsv'\n",
    "\n",
    "    if not exists(filename) and exists(filename_gz):\n",
    "        os.system(f\"gunzip {filename_gz}\")\n",
    "\n",
    "    gene_list = []\n",
    "    gene_file = \"/Users/ngirmay/Downloads/genes.txt\"\n",
    "    with open(gene_file, 'r') as f:\n",
    "        for line in f:\n",
    "            gene_list.append(line.strip())\n",
    "\n",
    "    # sample_dict = {\"name1\": {\"gene_id\":\"normalized_gene_count\"}} # create sample dict output that appears like this \n",
    "    sample_dict = {} # creating an empty dictionary that will contain sample name: gene id and normalized read count after looping through function\n",
    "    with open(filename, \"r\") as f:\n",
    "        for line in f:\n",
    "            if line.startswith(\"icgc_donor_id\"):\n",
    "                continue\n",
    "            lineList = line.strip().split(\"\\t\")\n",
    "            sample = lineList[0]\n",
    "            gene_name = lineList[7]\n",
    "\n",
    "            if gene_name not in gene_list:\n",
    "                continue\n",
    "\n",
    "            normalized_gene_count = lineList[8]\n",
    "            if sample not in sample_dict.keys(): # remove dupliicates\n",
    "                sample_dict[sample] = {}\n",
    "                sample_dict[sample][gene_name] = math.log2(max(float(normalized_gene_count), 0.00000001)) # log transform data\n",
    "            else:\n",
    "                sample_dict[sample][gene_name] = math.log2(max(float(normalized_gene_count), 0.00000001))\n",
    "            \n",
    "\n",
    "    for sample in sample_dict:\n",
    "        sample_gene_values_integer_list = [] # save values as integers\n",
    "        \n",
    "        for gene in gene_list:\n",
    "            sample_gene_values_integer_list.append(sample_dict[sample][gene])\n",
    "        \n",
    "        X.append(sample_gene_values_integer_list)\n",
    "        Y.append(cancer_type)\n",
    "\n",
    "    os.system(f\"gzip {filename}\") # gzip file "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data will be split into training set and testing set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.33, random_state=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_values([696, 258, 280, 166, 100, 322, 288, 98, 289, 305, 295, 358, 174, 326, 190, 200, 330, 324, 149, 108, 106])\n",
      "dict_keys(['BRCA', 'PRAD', 'LGG', 'CESC', 'READ', 'THCA', 'COAD', 'PAAD', 'STAD', 'SKCM', 'LUSC', 'KIRC', 'OV', 'HNSC', 'BLCA', 'LIHC', 'LUAD', 'UCEC', 'KIRP', 'GBM', 'LAML'])\n"
     ]
    }
   ],
   "source": [
    "# print the values and keys of y_train\n",
    "print(Counter(y_train).values())\n",
    "print(Counter(y_train).keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# SVC \n",
    "clf = make_pipeline(StandardScaler(), SVC(gamma='auto'))\n",
    "clf.fit(X_train, y_train)\n",
    "y_pred = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Results indicate an accuracy of 97% in determining tissue of origin across 21 cancer types using dataset from TCGA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "        BLCA       0.96      0.96      0.96       105\n",
      "        BRCA       1.00      0.99      1.00       345\n",
      "        CESC       0.99      0.89      0.94        93\n",
      "        COAD       0.76      0.96      0.85       140\n",
      "         GBM       1.00      0.98      0.99        51\n",
      "        HNSC       1.00      1.00      1.00       155\n",
      "        KIRC       0.97      0.97      0.97       160\n",
      "        KIRP       0.95      0.95      0.95        73\n",
      "        LAML       1.00      1.00      1.00        67\n",
      "         LGG       1.00      1.00      1.00       159\n",
      "        LIHC       0.99      0.98      0.98        94\n",
      "        LUAD       0.93      0.98      0.95       148\n",
      "        LUSC       0.98      0.90      0.94       133\n",
      "          OV       1.00      1.00      1.00        88\n",
      "        PAAD       1.00      0.95      0.98        44\n",
      "        PRAD       1.00      1.00      1.00       117\n",
      "        READ       0.75      0.28      0.41        54\n",
      "        SKCM       0.95      1.00      0.97       125\n",
      "        STAD       1.00      1.00      1.00       129\n",
      "        THCA       1.00      1.00      1.00       178\n",
      "        UCEC       0.95      0.99      0.97       184\n",
      "\n",
      "    accuracy                           0.97      2642\n",
      "   macro avg       0.96      0.94      0.95      2642\n",
      "weighted avg       0.97      0.97      0.96      2642\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Print results of model\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create list of first 21 f1-scores\n",
    "report = classification_report(y_test, y_pred, output_dict=True)\n",
    "report_df = pd.DataFrame(report).transpose()\n",
    "f1_list_long =  list(report_df[\"f1-score\"])\n",
    "f1_list_short = f1_list_long[:21]\n",
    "f1_list_short_formatted = [ '%.2f' % elem for elem in f1_list_short ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar graph of F-1 scores by Cancer Type\n",
    "\n",
    "plt.figure(figsize = (20,8))\n",
    "cancer_type_labels = [\"BLCA\",\"BRCA\",\"CESC\",\"COAD\",\"GBM\",\"HNSC\",\"KIRC\",\"KIRP\",\"LAML\",\"LGG\",\"LIHC\",\"LUAD\",\"LUSC\",\"OV\",\"PAAD\",\"PRAD\",\"READ\",\"SKCM\",\"STAD\",\"THCA\",\"UCEC\"]\n",
    "f1_scores = [float(i) for i in f1_list_short_formatted]\n",
    "plt.bar(cancer_type_labels,f1_scores, fc = \"turquoise\", ec = \"black\")\n",
    "plt.title('SVM Accuracy Per Cancer Type')\n",
    "plt.xlabel('Cancer Type')\n",
    "plt.ylabel('f1-Score')\n",
    "\n",
    "for i, v in enumerate(f1_scores):\n",
    "    plt.text(i, v, str(v), ha = \"center\", weight = \"bold\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Heat Map Test Case\n",
    "# Set the directory where your files are located\n",
    "directory = \"/Users/ngirmay/Downloads/\"\n",
    "file_pattern = \"exp_seq\"\n",
    "# Test with just one cancer type for the test case\n",
    "cancer_type_list = [\"BLCA\"]  # Replace with a valid cancer type code for the test\n",
    "\n",
    "# Load gene list\n",
    "gene_list = []\n",
    "gene_file = os.path.join(directory, \"genes.txt\")\n",
    "with open(gene_file, 'r') as f:\n",
    "    gene_list = [line.strip() for line in f]\n",
    "\n",
    "# Process data for the test cancer type and create a DataFrame for the heatmap\n",
    "heatmap_data_list = []\n",
    "\n",
    "# Test case: process only one cancer type\n",
    "cancer_type = cancer_type_list[0]\n",
    "file_path = os.path.join(directory, f\"{file_pattern}.{cancer_type}-US.tsv.gz\")\n",
    "if os.path.exists(file_path):\n",
    "    # Read the data directly from the compressed file\n",
    "    df = pd.read_csv(file_path, compression='gzip', sep='\\t')\n",
    "    # Filter by gene_list if needed\n",
    "    df = df[df['gene_id'].isin(gene_list)]\n",
    "    # Log2 transform and aggregate data\n",
    "    df['log2_count'] = np.log2(df['normalized_read_count'].clip(lower=0.00000001))\n",
    "    # Aggregate by gene\n",
    "    gene_agg = df.groupby('gene_id')['log2_count'].mean().to_frame(name=cancer_type)\n",
    "    heatmap_data_list.append(gene_agg)\n",
    "\n",
    "# Combine all the aggregated data\n",
    "heatmap_df = pd.concat(heatmap_data_list, axis=1)\n",
    "\n",
    "# Generate the heatmap for the test case\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.heatmap(heatmap_df, cmap=\"viridis\")\n",
    "plt.title(f'Heatmap of Log2 Transformed Gene Expression for {cancer_type}')\n",
    "plt.xlabel('Cancer Type')\n",
    "plt.ylabel('Gene')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set the directory where files are located\n",
    "directory = \"/Users/ngirmay/Downloads/\"\n",
    "file_pattern = \"exp_seq\"\n",
    "cancer_type_list = [\"BLCA\",\"BRCA\",\"CESC\",\"COAD\",\"GBM\",\"HNSC\",\"KIRC\",\"KIRP\",\"LAML\",\"LGG\",\"LIHC\",\"LUAD\",\"LUSC\",\"OV\",\"PAAD\",\"PRAD\",\"READ\",\"SKCM\",\"STAD\",\"THCA\",\"UCEC\"]\n",
    "\n",
    "# Load gene list\n",
    "gene_list = []\n",
    "gene_file = os.path.join(directory, \"genes.txt\")\n",
    "with open(gene_file, 'r') as f:\n",
    "    gene_list = [line.strip() for line in f]\n",
    "\n",
    "# Process data for each cancer type and create a DataFrame for the heatmap\n",
    "heatmap_data_list = []\n",
    "\n",
    "for cancer_type in cancer_type_list:\n",
    "    file_path = os.path.join(directory, f\"{file_pattern}.{cancer_type}-US.tsv.gz\")\n",
    "    if os.path.exists(file_path):\n",
    "        # Read the data directly from the compressed file\n",
    "        df = pd.read_csv(file_path, compression='gzip', sep='\\t')\n",
    "        # Filter by gene_list if needed\n",
    "        df = df[df['gene_id'].isin(gene_list)]\n",
    "        # Log2 transform and aggregate data\n",
    "        df['log2_count'] = np.log2(df['normalized_read_count'].clip(lower=0.00000001))\n",
    "        # Aggregate by gene\n",
    "        gene_agg = df.groupby('gene_id')['log2_count'].mean().to_frame(name=cancer_type)\n",
    "        heatmap_data_list.append(gene_agg)\n",
    "\n",
    "# Combine all the aggregated data\n",
    "heatmap_df = pd.concat(heatmap_data_list, axis=1)\n",
    "\n",
    "# HeatMap Generation\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.heatmap(heatmap_df, cmap=\"viridis\")\n",
    "plt.title('Heatmap of Log2 Transformed Gene Expression by Cancer Type')\n",
    "plt.xlabel('Cancer Type')\n",
    "plt.ylabel('Gene')\n",
    "plt.tight_layout()\n",
    "\n",
    "# Figure\n",
    "output_file = '/Users/ngirmay/Documents/GitHub/Bioinformatics/heatmap_all_cancer_types.png'\n",
    "plt.savefig(output_file, dpi=300)\n",
    "\n",
    "# Display Plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation matrix Calculation\n",
    "correlation_matrix = heatmap_df.corr()\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "plt.figure(figsize=(20, 18))  # Increase figure size for better readability\n",
    "\n",
    "# Generate a mask for the upper triangle\n",
    "mask = np.triu(np.ones_like(correlation_matrix, dtype=bool))\n",
    "\n",
    "# HeatMap Generation\n",
    "sns.heatmap(correlation_matrix, mask=mask, cmap='coolwarm', center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5}, annot=False)\n",
    "\n",
    "# Figure\n",
    "plt.title('Correlation Matrix of Gene Expression Across Cancer Types', fontsize=24)  # Increased font size\n",
    "plt.xlabel('Cancer Type', fontsize=18)  \n",
    "plt.ylabel('Gene', fontsize=18)  \n",
    "plt.xticks(fontsize=14)  \n",
    "plt.yticks(fontsize=14)  \n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "\n",
    "output_file = '/Users/ngirmay/Documents/GitHub/Bioinformatics/correlation_matrix.png'\n",
    "plt.savefig(output_file, dpi=300)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/_w/k9b4brpx7hlfjm6btrrr148r0000gn/T/ipykernel_46564/2353004334.py:20: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x='Class', y='Score', data=df[df['Metric'] == metric], ax=ax, palette='viridis')\n",
      "/var/folders/_w/k9b4brpx7hlfjm6btrrr148r0000gn/T/ipykernel_46564/2353004334.py:20: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x='Class', y='Score', data=df[df['Metric'] == metric], ax=ax, palette='viridis')\n",
      "/var/folders/_w/k9b4brpx7hlfjm6btrrr148r0000gn/T/ipykernel_46564/2353004334.py:20: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x='Class', y='Score', data=df[df['Metric'] == metric], ax=ax, palette='viridis')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get classification report\n",
    "report = classification_report(y_test, y_pred, output_dict=True)\n",
    "report_df = pd.DataFrame(report).transpose()\n",
    "\n",
    "# Extract class labels (excluding average metrics)\n",
    "class_labels = report_df.index[:-3].tolist()  # Exclude 'accuracy', 'macro avg', 'weighted avg'\n",
    "\n",
    "# Only keep the necessary rows and columns\n",
    "metrics_df = report_df.loc[class_labels, ['precision', 'recall', 'f1-score']]\n",
    "\n",
    "# Reset index to turn the index into a column for plotting\n",
    "metrics_df.reset_index(inplace=True)\n",
    "metrics_df.rename(columns={'index': 'Class'}, inplace=True)\n",
    "\n",
    "# Melt the DataFrame to long format for easier plotting\n",
    "metrics_df_melted = metrics_df.melt(id_vars='Class', var_name='Metric', value_name='Score')\n",
    "\n",
    "# Define the plotting function with annotations\n",
    "def plot_metric(df, metric, ax):\n",
    "    sns.barplot(x='Class', y='Score', data=df[df['Metric'] == metric], ax=ax, palette='viridis')\n",
    "    ax.set_title(f'{metric.capitalize()} Scores by Class', fontsize=16)\n",
    "    ax.set_ylabel(metric.capitalize())\n",
    "    ax.set_xlabel('Class')\n",
    "\n",
    "    # Add the text annotations on top of the bars\n",
    "    for p in ax.patches:\n",
    "        height = p.get_height()\n",
    "        ax.annotate(format(height, '.2f'),  # Format the score to two decimal places\n",
    "                    (p.get_x() + p.get_width() / 2., height),  # Position for the annotation\n",
    "                    ha='center', va='center',  # Center the text horizontally and vertically\n",
    "                    xytext=(0, 9),  # Distance text is raised above the bar\n",
    "                    textcoords='offset points',\n",
    "                    fontsize=10)  # Font size of the annotation\n",
    "\n",
    "# Create the subplots\n",
    "fig, axes = plt.subplots(3, 1, figsize=(10, 15), sharex=True)\n",
    "\n",
    "# Plot each metric with annotations\n",
    "plot_metric(metrics_df_melted, 'precision', axes[0])\n",
    "plot_metric(metrics_df_melted, 'recall', axes[1])\n",
    "plot_metric(metrics_df_melted, 'f1-score', axes[2])\n",
    "\n",
    "# set a common x-axis label\n",
    "fig.text(0.5, 0.004, 'Class', ha='center', va='center', fontsize=16)\n",
    "\n",
    "# Adjust layout to give some space at the bottom\n",
    "fig.tight_layout(h_pad=3.0)\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('/Users/ngirmay/Documents/GitHub/Bioinformatics/classification_report_visualization.png', dpi=300)\n",
    "\n",
    "# Show the plot\n",
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    "Gene Expression Analysis Across Cancer Types\n",
    "This report presents a series of visualizations that represent the gene expression data across various cancer types, to reiterate the objective was to replicate results from the source paper. The visualizations are intended to convey patterns, distributions, and relationships within the data but not as a means of producing original research, however this was how I came to give suggestions on possible future directions for this tissue of origin project as well as other future projects.\n",
    "\n",
    "Heatmap of Log2 Transformed Gene Expression by Cancer Type\n",
    "The heatmap illustrates the log2 transformed expression levels of genes across different cancer types. Each row represents a gene, and each column represents a cancer type, with color intensity indicating the expression level. The transformation helps to normalize the data and makes it easier to observe differences across the cancer types.\n",
    "\n",
    "Main Takeaways:\n",
    "Expression Patterns: Some genes show higher expression in certain cancer types, which could be indicative of cancer-specific biological processes or pathways.\n",
    "Potential Biomarkers: Genes with distinct expression profiles across cancer types may serve as potential biomarkers for diagnosis or targets for therapy.\n",
    "\n",
    "Correlation Matrix of Gene Expression Across Cancer Types\n",
    "The correlation matrix provides a pairwise comparison of gene expression levels across cancer types, revealing how similar the expression profiles are between pairs of cancer types.\n",
    "\n",
    "Main Takeaways:\n",
    "Related Cancer Types: A strong positive correlation suggests that certain cancer types have similar gene expression profiles, which might indicate shared underlying mechanisms or common origins.\n",
    "Diverse Expression: Conversely, cancer types with lower correlations might have unique expression profiles, suggesting different mechanisms or subtypes.\n",
    "\n",
    "Classification Report Visualization\n",
    "The bar plots display precision, recall, and F1-scores for the SVC model that predicts cancer types from gene expression data. Each bar represents a score for a particular cancer type.\n",
    "\n",
    "Main Takeaways:\n",
    "High scores across most cancer types indicate good model performance, replication of the paper looks to have gone well. However, certain types such as READ show lower scores, suggesting room for improvement depending on cancer type. Overall I am satisified with the obtained F1-score (combines precision and recall, providing a balanced view of the model's performance). Further investigation is needed into genes or cancer types with unique expression patterns to understand the biological significance. For cancer types with lower classification scores, additional features or alternative modeling techniques could be explored to improve performance, this must be taken into account as feature tuning in future projects. Integrating pathway information could give insights into the biological processes driving the observed expression patterns as well."
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