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  1. polars_cleansing_mc3.py: python script to clean the TCGA MC3 dataset.
  2. simulated_test_env.yaml: conda environment for running the simulated test.
  3. simulated_test.py: The final verision of simulated test.
  4. model_env.yaml: conda environment for EQA and simulated data analysis.
  5. panel_product_ols.ipynb: notebook recording the OLS model about the interaction between labs and panel products.
  6. simulated_model.ipynb: notebook recording the xgboost model about the simulated test.