/tools/TxGNN
TxGNN
mims-harvard/TxGNN
summary
TxGNN is a graph neural network model that predicts therapeutic opportunities for diseases using a comprehensive knowledge graph. It enables zero-shot inference for new diseases and can be trained on drug repurposing datasets, making it a valuable tool in drug discovery.
description
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
topics
drug-designdrug-discoverygeometric-deep-learninggraph-neural-networksknowledge-graphtherapeuticsindications-and-warningprecision-medicine
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