DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible.
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Updated
Dec 22, 2025 - Python
DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible.
Pipeline for testing drug response prediction models in a statistically and biologically sound way.
CaDRReS-Sc is a framework for analyzing drug response heterogeneity based on single-cell RNA-seq data
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
Drug Response Estimation from single-cell Expression Profiles
The Drug Response Prediction 2022 project in Computational Biology and Artificial Intelligence (COMBINE) Laboratory, McGill University.
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
Deep Learning based Drug Response Predication with public Omics datasets
Tensorflow implementation of PaccMann (drug sensitivity prediction)
Python implementation of TRANSACT, a tool to transfer non-linear predictors of drug response from model systems to tumors.
Framework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates
Clinical and biological implications of differential expression of sex hormone-related genes in testicular cancer
The repo of the "Multi-omics alleviates the limitations of panel-sequencing for cancer drug response prediction" manuscript
💊 Advanced Drug Response Prediction & Multi-Omics Platform Interactive computational biology dashboard with ML integration, synthetic CCLE/GDSC data, dose-response modeling, and biomarker discovery. Features 6-tab Streamlit interface, Random Forest predictions, and publication-quality visualizations.
Implementation of Percolate, an exponential family JIVE statistical model for multi-view integration
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
CrossTx: Cross-cell line Transcriptomic Signature Predictions
Pan Cancer Pan Treatment Github Repository
💊 Predict drug responses using multi-omics data with this advanced platform, enhancing precision medicine in oncology through effective computational analysis.
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