PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
-
Updated
May 21, 2024 - Python
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
Code pipeline for the PaccMann^RL in iScience: https://www.cell.com/iscience/fulltext/S2589-0042(21)00237-6
epigenome scale metabolic modeling for cancer metabolism
Tensorflow implementation of PaccMann (drug sensitivity prediction)
R scripts included in a bioinformatics pipeline for differential PGx analysis of cancer drug response
High Throughput Light Weight Regularized Regression Modeling for Molecular Data
CTD-squared BeatAML DREAM Challenge
A dataset and pre-production project for evaluating drug sensitivity scores across a network and identifying cancer dependency genes. Draws from NetMix and NETPHIX.
DpFrEP tool job executor for iPC VRE
Add a description, image, and links to the drug-sensitivity topic page so that developers can more easily learn about it.
To associate your repository with the drug-sensitivity topic, visit your repo's landing page and select "manage topics."