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RTNsurvival

This is thereleased version of RTNsurvival; for the devel version, seeRTNsurvival.

Survival analysis using transcriptional networks inferred by the RTN package

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DOI: 10.18129/B9.bioc.RTNsurvival


Bioconductor version: Release (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")BiocManager::install("RTNsurvival")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RTNsurvival")
RTNsurvival: multivariate survival analysis using transcriptional networks and regulons.HTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneRegulation,GeneSetEnrichment,GraphAndNetwork,NetworkEnrichment,NetworkInference,Software,Survival
Version1.34.0
In Bioconductor sinceBioC 3.6 (R-3.4) (8 years)
LicenseArtistic-2.0
DependsR (>= 4.4.0),RTN(>= 2.29.1),RTNduals(>= 1.29.1), methods
Importssurvival,RColorBrewer, grDevices, graphics, stats, utils,scales,data.table,egg,ggplot2,pheatmap,dunn.test
System Requirements
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Suggestsknitr,rmarkdown,BiocStyle,RUnit,BiocGenerics
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageRTNsurvival_1.34.0.tar.gz
Windows Binary (x86_64) RTNsurvival_1.34.0.zip
macOS Binary (x86_64)RTNsurvival_1.34.0.tgz
macOS Binary (arm64)RTNsurvival_1.34.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/RTNsurvival
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/RTNsurvival
Bioc Package Browserhttps://code.bioconductor.org/browse/RTNsurvival/
Package Short Urlhttps://bioconductor.org/packages/RTNsurvival/
Package Downloads ReportDownload Stats

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