/tools/PDGrapher
PDGrapher
mims-harvard/PDGrapher
summary
PDGrapher is a tool for combinatorial prediction of therapeutic perturbations using causally-inspired neural networks. It leverages chemical datasets to train models that can predict the effects of drug combinations, contributing to the field of drug discovery.
description
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
topics
causal-inferencedrug-discoverygeometric-deep-learninggraph-neural-networksperturbationstherapeutics
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