Multigene signatures of responses to chemotherapy derived by biochemically inspired machine learning

Publication date: Available online 19 August 2019Source: Molecular Genetics and MetabolismAuthor(s): Peter K. RoganAbstractPharmacogenomic responses to chemotherapy drugs can be modeled by supervised machine learning of expression and copy number of relevant gene combinations. Such biochemical evidence can form the basis of derive gene signatures using cell line data, which can subsequently be examined in patients that have been treated with the same drugs. These gene signatures typically contain elements of multiple biochemical pathways which together comprise multiple origins of drug resistance or sensitivity. The signatures can capture variation in these responses to the same drug among different patients.
Source: Molecular Genetics and Metabolism - Category: Genetics & Stem Cells Source Type: research