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An overview of machine learning methods for monotherapy drug response prediction
2021
Briefings in Bioinformatics
For an increasing number of preclinical samples, both detailed molecular profiles and their responses to various drugs are becoming available. Efforts to understand, and predict, drug responses in a data-driven manner have led to a proliferation of machine learning (ML) methods, with the longer term ambition of predicting clinical drug responses. Here, we provide a uniquely wide and deep systematic review of the rapidly evolving literature on monotherapy drug response prediction, with a
doi:10.1093/bib/bbab408
pmid:34619752
pmcid:PMC8769705
fatcat:t4gwewnsarb5rm6tx3zdbqnhhm