RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines.

ABSTRACT:

Motivation

In recent years there have been several efforts to generate sensitivity profiles of collections of genomically characterized cell lines to panels of candidate therapeutic compounds. These data provide the basis for the development of in silico models of sensitivity based on cellular, genetic, or expression biomarkers of cancer cells. However, a remaining challenge is an efficient way to identify accurate sets of biomarkers to validate. To address this challenge, we developed methodology using gene-expression profiles of human cancer cell lines to predict the responses of these cell lines to a panel of compounds.

Results

We developed an iterative weighting scheme which, when applied to elastic net, a regularized regression method, significantly improves the overall

SUBMITTER: Basu A 

PROVIDER: S-EPMC6157095 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature