Article

MGATAF: Multi-channel Graph AttentionNetwork with Adaptive Fusion forCancer-Drug Response Prediction

2024-07-31

Abstract excerpt

<title>Abstract</title> <p>Drug response prediction is critical in personalized medicine, aiming todetermine the most effective and safe treatments for individual patients.Traditional prediction methods relying on demographic and genetic dataoften fall short in accuracy and robustness. Recent graph-based models,while promising, frequently neglect the critical role of atomic interactionsand fail to integrate drug...

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Literature Corpus work: e02838f2-a6c1-519c-932e-9e93a069fb6a
DOI: 10.21203/rs.3.rs-4688819/v1

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