Check out our preprint on bioRxiv!
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, statistical models, network-based analyses).
Use DrEval to build drug response models that have an impact
- Maintained, up-to-date baseline catalog, no need to re-implement literature models
- Gold standard datasets for benchmarking
- Consistent application-driven evaluation
- Ablation studies with permutation tests
- Cross-study evaluation for generalization analysis
- Optimized nextflow pipeline for fast experiments
- Easy-to-use hyperparameter tuning
- 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).
