Analyze the effects of intensity batch correction algorithms on cell typing models (MAPS & XGBoost) for 3 different methods:
- COMBAT
- MICHEALSON
- Z-score normalization
- Git pull the MAPS repo + Install related dependencies
- Replace the trainer.py script in MAPS/maps/cell_phenotyping/trainer.py with the script in this repo
- This script only changes the input for the model.fit function to take in dataframes instead of a path
- Implemented just for ease of use and batch running
- Run maps_main.ipynb
[] Clean up the ipynb script