RTNsurvival: an R/Bioconductor package for regulatory network survival analysis.

ABSTRACT: MOTIVATION:Transcriptional networks are models that allow the biological state of cells or tumours to be described. Such networks consist of connected regulatory units known as regulons, each comprised of a regulator and its targets. Inferring a transcriptional network can be a helpful initial step in characterizing the different phenotypes within a cohort. While the network itself provides no information on molecular differences between samples, the per-sample state of each regulon, i.e. the regulon activity, can be used for describing subtypes in a cohort. Integrating regulon activities with clinical data and outcomes would extend this characterization of differences between subtypes. RESULTS:We describe RTNsurvival, an R/Bioconductor package that calculates regulon activity profiles usi

SUBMITTER: Groeneveld CS 

PROVIDER: S-EPMC6821288 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature