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Machine learning approaches to drug response prediction: challenges and recent progress
2020
npj Precision Oncology
Cancer is a leading cause of death worldwide. Identifying the best treatment using computational models to personalize drug response prediction holds great promise to improve patient's chances of successful recovery. Unfortunately, the computational task of predicting drug response is very challenging, partially due to the limitations of the available data and partially due to algorithmic shortcomings. The recent advances in deep learning may open a new chapter in the search for computational
doi:10.1038/s41698-020-0122-1
pmid:32566759
pmcid:PMC7296033
fatcat:wznpdjf2ojgubbcgw3x4asrrgy