stageR

DOI: 10.18129/B9.bioc.stageR    

stageR: stage-wise analysis of high throughput gene expression data in R

Bioconductor version: Release (3.14)

The stageR package allows automated stage-wise analysis of high-throughput gene expression data. The method is published in Genome Biology at https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1277-0

Author: Koen Van den Berge and Lieven Clement

Maintainer: Koen Van den Berge <koen.vdberge at gmail.com>

Installation

To install this package, start R (version "4.1") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("stageR")

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

Documentation

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

browseVignettes("stageR")

 

HTML	R Script	stageR: stage-wise analysis of high-throughput gene expression data in R
PDF		Reference Manual

Details

biocViews	Software, StatisticalMethod
Version	1.16.0
In Bioconductor since	BioC 3.6 (R-3.4) (4.5 years)
License	GNU General Public License version 3
Depends	R (>= 3.4), SummarizedExperiment
Imports	methods, stats
LinkingTo
Suggests	knitr, rmarkdown, BiocStyle, methods, Biobase, edgeR, limma, DEXSeq, testthat
SystemRequirements
Enhances
URL
Depends On Me	rnaseqDTU
Imports Me
Suggests Me	MethReg, satuRn
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	stageR_1.16.0.tar.gz
Windows Binary	stageR_1.16.0.zip
macOS 10.13 (High Sierra)	stageR_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/stageR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/stageR
Package Short Url	https://bioconductor.org/packages/stageR/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.14	Source Archive