MGATAF: Multi-channel Graph AttentionNetwork with Adaptive Fusion forCancer-Drug Response Prediction
Dhekra Saeed,
Huanlai Xing,
Barakat AlBadani
et al.
Abstract: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 fingerprints with SMILES for comprehensivemolecular graph construction. We introduces MGATAF (MultimodalMulti-channel Graph At… Show more
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