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

Authors

Peter K. Rogan, Western UniversityFollow

Document Type

Article

Publication Date

9-1-2019

Journal

Molecular genetics and metabolism

Volume

128

Issue

1-2

First Page

45

Last Page

52

URL with Digital Object Identifier

https://doi.org/10.1016/j.ymgme.2019.08.005

Abstract

Pharmacogenomic 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 derived 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.

Notes

This article was initially published by Elsevier in Molecular Genetics and Metabolism and can be accessed from the publisher at: https://doi.org/10.1016/j.ymgme.2019.08.005

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