Article

Robust and clinically relevant prediction of response to anti-cancer drugs via network integration of molecular profiles

2018-04-16

Abstract excerpt

<h4>ABSTRACT</h4> In order to tackle heterogeneity of cancer samples and high data space dimensionality, we propose a method NEAmarker for finding sensitive and robust biomarkers at the pathway level. In this method, scores from network enrichment analysis transform the original space of altered genes into a lower-dimensional space of pathways, which is then correlated with phenotype variables. The analysis was f...

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Literature Corpus work: e30f97a1-9ea2-5cc2-9a74-4a24f794b80c
DOI: 10.1101/301838

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