Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
-
Updated
Nov 17, 2021 - Python
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
CaDRReS-Sc is a framework for analyzing drug response heterogeneity based on single-cell RNA-seq data
The Drug Response Prediction 2022 project in Computational Biology and Artificial Intelligence (COMBINE) Laboratory, McGill University.
Drug Response Estimation from single-cell Expression Profiles
Deep Learning based Drug Response Predication with public Omics datasets
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
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.
CrossTx: Cross-cell line Transcriptomic Signature Predictions
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
Add a description, image, and links to the drug-response-prediction topic page so that developers can more easily learn about it.
To associate your repository with the drug-response-prediction topic, visit your repo's landing page and select "manage topics."