1136-Deep Learning Architectures for Drug Synergy Prediction

This review explores the evolution and application of deep learning for predicting anti-cancer drug synergy, a therapeutic approach that improves efficacy while minimizing side effects. It categorizes computational models into single-task and multi-task learning frameworks, detailing how they utilize biomedical data such as chemical structures and genomic profiles. The authors highlight various be...去小宇宙查看完整单集简介
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