stageR

DOI: 10.18129/B9.bioc.stageR    

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

Bioconductor version: Release (3.7)

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>

Citation (from within R, enter citation("stageR")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("stageR")

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 1.2.22
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
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package stageR_1.2.22.tar.gz
Windows Binary stageR_1.2.22.zip
Mac OS X 10.11 (El Capitan) stageR_1.2.22.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 http://bioconductor.org/packages/stageR/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.7 Source Archive

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: