This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see stageR.
Bioconductor version: 3.8
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")
):
To install this package, start R (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("stageR")
For older versions of R, please refer to the appropriate Bioconductor release.
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 |
Reference Manual |
biocViews | Software, StatisticalMethod |
Version | 1.4.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (1.5 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 | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | stageR_1.4.0.tar.gz |
Windows Binary | stageR_1.4.0.zip |
Mac OS X 10.11 (El Capitan) | stageR_1.4.0.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 | http://bioconductor.org/packages/stageR/ |
Package Downloads Report | Download Stats |
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