This is the development version of RTNsurvival; for the stable release version, see RTNsurvival.
Survival analysis using transcriptional networks inferred by the RTN packageBioconductor version: Development (3.22)
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
Maintainer: Clarice Groeneveld <clari.groeneveld at gmail.com>, Mauro A. A. Castro <mauro.a.castro at gmail.com>
Citation (from within R, entercitation("RTNsurvival")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("RTNsurvival")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RTNsurvival")Follow Installation instructions to use this package in your R session.
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