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Browse files- autoencoder_64_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_64_latent_dims_oos_mode.pt
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 2030567078
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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:ad28d42d85b8b8e05c36417ffbd60cee3f2e1f4086a0685284467c2114aab449
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size 1422440
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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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Method,MSE,RMSE,TRACERx_MSE,TRACERx_RMSE,Other_MSE,Other_RMSE
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AE,0.04735793915204462,0.21761879319591088,,,,
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PCA,0.05994594280935697,0.24483860563513463,,,,
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model_config.json
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@@ -1,11 +1,11 @@
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{
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"model_info": {
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"latent_dims": 64,
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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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8192,
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4096,
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2048,
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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":
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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": 64,
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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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8192,
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4096,
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2048,
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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": 43,
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"best_validation_loss": 0.00015428456574314133,
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"final_epoch": 136,
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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": "2025-08-26T14:17:15.311991",
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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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