Predict drug sensitivity of cancer cells with pathway activity inference.

ABSTRACT:

Background

Predicting cellular responses to drugs has been a major challenge for personalized drug therapy regimen. Recent pharmacogenomic studies measured the sensitivities of heterogeneous cell lines to numerous drugs, and provided valuable data resources to develop and validate computational approaches for the prediction of drug responses. Most of current approaches predict drug sensitivity by building prediction models with individual genes, which suffer from low reproducibility due to biologic variability and difficulty to interpret biological relevance of novel gene-drug associations. As an alternative, pathway activity scores derived from gene expression could predict drug response of cancer cells.

Method

In this study, pathway-based prediction models were built with

SUBMITTER: Wang X 

PROVIDER: S-EPMC6357358 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature