RTNsurvival is a tool for integrating regulons generated by the RTN package with survival information. For a given regulon, the 2-tailed GSEA approach computes a differential Enrichment Score (dES) for each individual sample, and the dES distribution of all samples is then used to assess the survival statistics for the cohort. There are two main survival analysis workflows: a Cox Proportional Hazards approach used to model regulons as predictors of survival time, and a Kaplan-Meier analysis assessing the stratification of a cohort based on the regulon activity. All plots can be fine-tuned to the user's specifications.
|Author||Clarice S. Groeneveld, Vinicius S. Chagas, Mauro A. A. Castro|
|Bioconductor views||GeneRegulation GeneSetEnrichment GraphAndNetwork NetworkEnrichment NetworkInference Survival|
|Maintainer||Clarice Groeneveld <email@example.com>, Mauro A. A. Castro <firstname.lastname@example.org>|
|Package repository||View on GitHub|
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