Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.

Abstract

Gene-expression data are often used to infer pathways regulating transcriptional responses. For example, differentially expressed genes (DEGs) induced by compound treatment can help characterize hits from phenotypic screens, either by correlation with known drug signatures or by pathway enrichment. Pathway enrichment is, however, typically computed with… (More)
DOI: 10.1177/1087057114522690

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