This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see stageR.
Bioconductor version: 3.10
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 "3.6") 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 | 1.8.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (2.5 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_1.8.0.tar.gz |
| Windows Binary | stageR_1.8.0.zip (32- & 64-bit) |
| Mac OS X 10.11 (El Capitan) | stageR_1.8.0.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 |
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