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Official machine learning algorithms implementation for the paper:

Phenotypic landscape of a fungal meningitis pathogen reveals its unique biology

Setting up the environment:

python3.10 -m venv .
source bin/activate
pip install -r requirements.txt

Available source files

  • cryptococcus.py: loading input data and producing intermediate outputs (only to regenerate intermediate results; beware some minor statistical oscillation can occur)
  • across_features.py: computing metrics depending on input features (ordered with feature importance) and produces the resulting figures for visualization.
  • feature_importances.py: converts intermediate results into excel format

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