PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
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Updated
Feb 11, 2026 - 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
CTD-squared BeatAML DREAM Challenge
High Throughput Light Weight Regularized Regression Modeling for Molecular Data
Circadian clock subtypes and drug sensitivity in breast cancer cells (Mol Systems Biology 2025)
DpFrEP tool job executor for iPC VRE
A dataset and pre-production project for evaluating drug sensitivity scores across a network and identifying cancer dependency genes. Draws from NetMix and NETPHIX.
Drivers of time-of-day drug sensitivity in human cells (Communications Biology 2025)
Imagine a world where cancer treatment is as unique as your DNA.
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