DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible.
-
Updated
Oct 5, 2026 - Python
#
drug-response-prediction
Here are 27 public repositories matching this topic...
Pipeline for testing drug response prediction models in a statistically and biologically sound way.
training workflow machine-learning bioinformatics deep-learning pipeline nextflow reproducible-research cross-validation drugs hyperparameter-tuning generalization cell-lines fair-principles nf-core robustness-assessment drug-response-prediction drug-response randomization-tests
-
Updated
Oct 4, 2026 - Nextflow
CaDRReS-Sc is a framework for analyzing drug response heterogeneity based on single-cell RNA-seq data
-
Updated
May 7, 2022 - Jupyter Notebook
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
bioinformatics pharmacogenomics transferlearning domain-generalization drug-response-prediction out-of-distribution-generalization
-
Updated
Nov 17, 2021 - Python
Drug Response Estimation from single-cell Expression Profiles
-
Updated
Jan 5, 2024 - C++
The Drug Response Prediction 2022 project in Computational Biology and Artificial Intelligence (COMBINE) Laboratory, McGill University.
-
Updated
Mar 10, 2023 - Python
Python implementation of TRANSACT, a tool to transfer non-linear predictors of drug response from model systems to tumors.
python kernel-methods interpretability cell-lines tumors drug-response-prediction drug-response principal-vectors
-
Updated
Nov 21, 2022 - HTML
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
machine-learning deep-learning convolutional-neural-networks cancer-research multi-omics graph-neural-networks drug-response-prediction graph-transformer
-
Updated
Apr 7, 2026 - Python
Deep Learning based Drug Response Predication with public Omics datasets
-
Updated
Dec 8, 2022 - Python
Tensorflow implementation of PaccMann (drug sensitivity prediction)
-
Updated
Sep 17, 2021 - Python
Knowledge graph-enhanced prediction of biomedical molecular relationships with MolNexus
chemical knowledge-graph drug-discovery drug-repurposing multimodal-learning drug-target-interactions heterogeneous-graph drug-response-prediction target-identification perturbation-prediction
-
Updated
Sep 23, 2026 - Python
Framework to build, evaluate, select, and compare ML classification and regression models using high-dimensional biological data and other covariates
-
Updated
Oct 20, 2024 - Python
Clinical and biological implications of differential expression of sex hormone-related genes in testicular cancer
machine-learning genomics signaling network-analysis transcriptomics regularized-linear-regression differential-gene-expression semi-supervised-clustering machine-lea drug-response-prediction sex-hormones testicular-cancer differential-protein-expression
-
Updated
Mar 5, 2025 - R
The repo of the "Multi-omics alleviates the limitations of panel-sequencing for cancer drug response prediction" manuscript
-
Updated
Nov 10, 2022 - R
Drug response classification using Support Vector Machine (SVM) with EDA, feature engineering, hyperparameter tuning, and kernel comparison for healthcare analytics.
python machine-learning scikit-learn supervised-learning support-vector-machine confusion-matrix data-preprocessing feature-engineering model-evaluation classification-model drug-response-prediction drug-classification healthcare-analytics medical-data-analysis svm-classification
-
Updated
Apr 16, 2026 - Jupyter Notebook
Implementation of Percolate, an exponential family JIVE statistical model for multi-view integration
machine-learning pytorch exponential-family multi-omics jive multi-view drug-response-prediction glm-pca
-
Updated
Oct 23, 2022 - Python
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
machine-learning deep-learning convolutional-neural-networks cancer-research multi-omics graph-neural-networks drug-response-prediction graph-transformer
-
Updated
May 6, 2026 - Python
💊 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.
machine-learning bioinformatics genomics synthetic-biology plotly computational-biology data-visualization artificial-intelligence scientific-computing drug-discovery data-science-portfolio cancer-research biotechnology precision-medicine biomedical-data-science multi-omics precision-oncology streamlit drug-response-prediction interactive-dashboard
-
Updated
Dec 4, 2025 - Jupyter Notebook
💊 Predict drug responses using multi-omics data with this advanced platform, enhancing precision medicine in oncology through effective computational analysis.
deep-learning pipeline nextflow reproducible-research machine pytorch drugs pharmacogenomics hyperparameter-tuning generalization single-cell-rna-seq transferlearning cell-lines fair-principles nf-core drug-response-prediction drug-response randomization-tests
-
Updated
Oct 4, 2026 - Jupyter Notebook
Project develops a mechanism-aware prediction pipeline using CTRPv2 drug response and cancer cell-line omics. It compares single-omics and integrated strategies, evaluates AAC prediction, and uses SHAP and pathway analysis to identify molecular drivers across drug MOA classes.
-
Updated
Jul 23, 2026 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the drug-response-prediction topic, visit your repo's landing page and select "manage topics."