https://www.selleckchem.com/pr....oducts/AZD2281(Olapa
Prediction of drug response based on multi-omics data is a crucial task in the research of personalized cancer therapy. We proposed an iterative sure independent ranking and screening (ISIRS) scheme to select drug response-associated features and applied it to the Cancer Cell Line Encyclopedia (CCLE) dataset. For each drug in CCLE, we incorporated multi-omics data including copy number alterations, mutation and gene expression and selected up to 50 features using ISIRS. Then a linear regression model based on the selected feat