REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
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Updated
Nov 11, 2024 - Python
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drug-disease-associations
Here are 5 public repositories matching this topic...
MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
meta-path multiple-instance-learning heterogeneous-graph-neural-network drug-repositioning drug-disease-associations
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Nov 24, 2024 - Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
link-prediction protein-protein-interaction graph-embedding protein-function-prediction node-classification drug-drug-interaction semantic-type-detection drug-disease-associations
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Sep 19, 2019 - Python
A reproducible source-aware pipeline for integrating, harmonising, deduplicating, and analysing drug–disease relationships from 11 public biomedical databases, with processed data available on Zenodo.
bioinformatics computational-biology drug-repurposing opentargets drugcentral chembl drug-disease-associations
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Jun 5, 2026 - Python
Scripts and results from an article on screening of Norwegian health registries in search for associations between drug usage and Parkinson's disease incidence.
epidemiology parkinsons-disease prescriptions association-studies health-records drug-disease-associations
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Sep 11, 2024 - HTML
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