Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients

Abstract

MOTIVATION One of the main goals of high-throughput gene-expression studies in cancer research is to identify prognostic gene signatures, which have the potential to predict the clinical outcome. It is common practice to investigate these questions using classification methods. However, standard methods merely rely on gene-expression data and assume the… (More)
DOI: 10.1093/bioinformatics/btq345

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