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Browse files- autoencoder_2_latent_dims_oos_mode.pt +2 -2
- latent_df.parquet +3 -0
- metrics.csv +2 -2
- model_config.json +9 -11
- preprocessing_stats.json +0 -0
- run_inference.py +1 -1
autoencoder_2_latent_dims_oos_mode.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b012b8322e17361f2463bda0dbb1677f59821513d497369cb3a0e65b66500319
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size 2028069890
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latent_df.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce0396554532f7d330300ade553cef16890b4dd891cf8860940951a9350b8a45
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size 68248
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metrics.csv
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Method,MSE,RMSE,TRACERx_MSE,TRACERx_RMSE,Other_MSE,Other_RMSE
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AE,0.
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PCA,0.
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UMAP,,,,,,
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Method,MSE,RMSE,TRACERx_MSE,TRACERx_RMSE,Other_MSE,Other_RMSE
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AE,0.11894668426054013,0.34488648025189406,,,,
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PCA,0.12724498632657424,0.3567141521254438,,,,
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UMAP,,,,,,
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model_config.json
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{
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"model_info": {
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"latent_dims": 2,
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"compression_mode": "
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"model_type": "SimpleAE",
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"input_dim":
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"layer_sizes": [
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2048,
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1024,
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512,
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},
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"data_config": {
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"datasets": [
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"tracerx"
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"cellfm",
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"gtex"
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],
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"data_path": "../datasets/TRACERx/tracerx_vst_counts_proper.csv",
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"normalization_range": "[-1, 1]",
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"harmonization_method": "imputation",
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"imputation_strategy": "
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"tracerx_priority_weight": 2.0
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},
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"training_results": {
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"best_epoch":
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"best_validation_loss": 0.
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"final_epoch":
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"training_completed": true
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},
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"system_info": {
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"device": "cuda:0",
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"timestamp": "2025-08-
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"python_version": "3.10.12",
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"pytorch_version": "2.6.0+cu124"
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}
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{
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"model_info": {
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"latent_dims": 2,
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"compression_mode": "transcriptome",
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"model_type": "SimpleAE",
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"input_dim": 20136,
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"layer_sizes": [
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20136,
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2048,
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1024,
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512,
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},
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"data_config": {
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"datasets": [
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"tracerx"
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],
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"data_path": "../datasets/TRACERx/tracerx_vst_counts_proper.csv",
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"normalization_range": "[-1, 1]",
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"harmonization_method": "imputation",
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"imputation_strategy": "fixed",
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"tracerx_priority_weight": 2.0
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},
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"training_results": {
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"best_epoch": 4,
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"best_validation_loss": 0.0011423161563412553,
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"final_epoch": 23,
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"training_completed": true
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},
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"system_info": {
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"device": "cuda:0",
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"timestamp": "2025-08-26T09:21:32.234552",
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"python_version": "3.10.12",
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"pytorch_version": "2.6.0+cu124"
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}
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preprocessing_stats.json
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run_inference.py
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#!/usr/bin/env python3
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"""
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Inference script for
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Generated automatically during training
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"""
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#!/usr/bin/env python3
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"""
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Inference script for transcriptome autoencoder model
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Generated automatically during training
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"""
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