Machine Learning models using patient related clinical and genomic data for the prediction of response to MAPKi treatments.
Contain all necessary files to run survival models from melanodb data (melanodb_original.db & melanodb_validation.db)
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scripts
- load data from database
- generate datasets
- define survival machine learning (ML) models
- process data for survival ML algorithms
- run models and store results in /model_reuslts folder
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datafiles Datafiles required to generated datasets
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model_results Results of ML algorithms stored in pickle files
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notebooks Visualization of results and figures generation
py ./source_code/run_all_survival_models.py