daisybio/drevalpy
DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible.
This tool helps cancer researchers and computational biologists evaluate drug response prediction models in a statistically sound and biologically meaningful way. You input your predictive model and relevant cancer cell line drug response data, and it outputs standardized evaluation metrics and paper-ready visualizations. It's designed for anyone developing or assessing models that predict how cancer cells will react to different drugs.
Use this if you are developing or testing drug response prediction models and need a reliable, reproducible, and standardized way to evaluate their performance against established baselines and gold-standard datasets.
Not ideal if you are looking for a tool to develop new drug compounds or conduct wet-lab experiments, as this is focused purely on computational model evaluation.
Stars
32
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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