Translating transcriptomic findings from cancer model systems to humans through joint dimension reduction

Abstract

A joint dimension reduction approach integrates gene expression data from human tumor cohorts, human cancer cell lines, and mouse model tumors to improve prediction of clinical biomarkers from model systems.