RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction

Abstract The accurate prediction of cancer drug sensitivity according to the multiomics profiles of individual patients is crucial for precision cancer medicine. However, the development of prediction models has been challenged by the complex crosstalk of input features and the resistance-dominant d...

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