stageR

DOI: 10.18129/B9.bioc.stageR    

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

Bioconductor version: Release (3.6)

The stageR package allows automated stage-wise analysis of high-throughput gene expression data. The method is currently published as a preprint at http://biorxiv.org/content/early/2017/02/16/109082

Author: Koen Van den Berge

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

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

HTML	R Script	stageR
PDF		Reference Manual

Details

biocViews	Software, StatisticalMethod
Version	1.0.0
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
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	stageR_1.0.0.tar.gz
Windows Binary	stageR_1.0.0.zip
Mac OS X 10.11 (El Capitan)	stageR_1.0.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/stageR
Package Short Url	http://bioconductor.org/packages/stageR/
Package Downloads Report	Download Stats