REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
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Updated
Sep 27, 2023 - Python
REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
Heter-LP is a novel semi-supervised heterogeneous label propagation algorithm.
Code for the paper "Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases". Accepted by BMC Medical Informatics and Decision Making, 2021
Github Pages template for academic personal websites
A Java backend for the DREIMT application
drug repositioning method evaluation
An Angular 9 frontend for the DREIMT application
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