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Merge pull request #41 from gwaygenomics/final-pipeline
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Final pipeline initialization
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gwaybio authored Jul 29, 2017
2 parents e25ac52 + f0a4c83 commit 84c6079
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4 changes: 4 additions & 0 deletions .gitattributes
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Expand Up @@ -5,3 +5,7 @@ data/pancan_scaled_zeroone_rnaseq.tsv filter=lfs diff=lfs merge=lfs -text
models/decoder_onehidden_vae.hdf5 filter=lfs diff=lfs merge=lfs -text
models/encoder_onehidden_vae.hdf5 filter=lfs diff=lfs merge=lfs -text
results/parameter_sweep_full_results.tsv filter=lfs diff=lfs merge=lfs -text
data/vae_encoded_with_clinical.tsv filter=lfs diff=lfs merge=lfs -text
results/rnaseq_tsne_out.tsv filter=lfs diff=lfs merge=lfs -text
results/vae_subtracted_tsne_out.tsv filter=lfs diff=lfs merge=lfs -text
results/vae_tsne_out.tsv filter=lfs diff=lfs merge=lfs -text
3 changes: 3 additions & 0 deletions data/vae_encoded_with_clinical.tsv
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4 changes: 2 additions & 2 deletions get_distance.ipynb
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"cell_type": "markdown",
"metadata": {},
"source": [
"# Determining the distance of COAD and GBM tumors in different spaces\n",
"# Determining the distance of BLCA and LUAD tumors in different spaces\n",
"\n",
"The script will output distance matrices for pairwise comparisons of all colon cancer (COAD) and glioblastoma (GBM) tumors. The script will output distances for raw gene expression features and gene expression features encoded by a variational autoencoder. Additionally, distance matrices for the subtraction of cancer-type specific means is also output."
"The script will output distance matrices for pairwise comparisons of all bladder cancer (BLCA) and lung adenocarcinoma (LUAD) tumors. The script will output distances for raw gene expression features and gene expression features encoded by a variational autoencoder. Additionally, distance matrices for the subtraction of cancer-type specific means is also output."
]
},
{
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101 changes: 101 additions & 0 deletions param_sweep/paramsweep_0.0005lr_100bs_100e_0.01k.tsv
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loss val_loss learning_rate batch_size epochs kappa
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101 changes: 101 additions & 0 deletions param_sweep/paramsweep_0.0005lr_100bs_100e_0.05k.tsv
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loss val_loss learning_rate batch_size epochs kappa
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101 changes: 101 additions & 0 deletions param_sweep/paramsweep_0.0005lr_100bs_100e_0.1k.tsv
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