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Personalized medicine approaches for cancer therapy seek to determine optimal therapies for cancer patients based on the molecular profile of their tumour. The motivation is to target oncogenomic alterations in tumours with the appropriate therapies. However, it is currently infeasible to determine the optimal therapy simply given the genomic profile of a tumour. There has been significant recent work in attempting to use the computational approach of machine learning for predicting tumour drugdoi:10.14288/1.0394095 fatcat:aykcaagigvdtnfehnvypotcbvq