Figure 1
From: Computational identification of multi-omic correlates of anticancer therapeutic response
Experimental approach included subjecting the Cancer Genome Project (CGP) training data to statistical feature selection and training each machine learning algorithm with the resulting feature subset. The resulting genomic predictors of drug response to 15 anticancer drugs of interest were validated on independent Cancer Cell Line Encyclopedia (CCLE) and National Cancer Institute (NCI60) datasets.