Modular within and between score for drug response prediction in cancer cell lines

摘要

Drug response prediction in cancer cell lines is vital to discover new anticancer drugs. However, it’s stilla challenging task to accurately predict drug responses in cancer cell lines. In this study, we presenteda novel computational approach, named as MSDRP (modular within and between score for drugresponse prediction), to predict drug responses in cell lines. The method is based on a constructedheterogeneous drug–cell line network with multiple information. Compared with other state-of-the-artmethods, MSDRP acquired better predictive performance, and identified potential associations betweendrugs and cell lines, which have been confirmed by the published literature.