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DrEvalPy: Python Cancer Cell Line Drug Response Prediction Suite

PyPI Python Version License Read the documentation at https://drevalpy.readthedocs.io/ Build Package Status Run Tests Status Codecov pre-commit Black

Focus on Innovating Your Models — DrEval Handles the Rest! - DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible. - Focus on model innovation while using our automated standardized evaluation protocols and preprocessing workflows. - A flexible model interface supports all model types (e.g. Machine Learning, Stats, Network-based analyses)

Use DrEval to Build Drug Response Models That Have an Impact

  1. Maintained, up-to-date baseline catalog, no need to re-implement literature models
  2. Gold standard datasets for benchmarking
  3. Consistent application-driven evaluation
  4. Ablation studies with permutation tests
  5. Cross-study evaluation for generalization analysis
  6. Optimized nextflow pipeline for fast experiments
  7. Easy-to-use hyperparameter tuning
  8. Paper-ready visualizations to display performance

This project is a collaboration of the Technical University of Munich (TUM, Germany) and the Freie Universität Berlin (FU, Germany).