An integral genomic signature approach for tailored cancer therapy using genome-wide sequencing data

Abstract

Predicting drug responses in cancer patients requires robust computational frameworks. Here, the authors develop an integral genomic signature —iGenSig— approach to predict drug responses using multi-omics data from tumour samples, and validate this approach using genomic datasets from multiple clinical studies.