Predicting Anticancer Drug Responses Using a Dual-Layer Integrated Cell Line-Drug Network Model

Abstract

The ability to predict the response of a cancer patient to a therapeutic agent is a major goal in modern oncology that should ultimately lead to personalized treatment. Existing approaches to predicting drug sensitivity rely primarily on profiling of cancer cell line panels that have been treated with different drugs and selecting genomic or functional… (More)
DOI: 10.1371/journal.pcbi.1004498

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