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

Bioconductor version: Release (3.19)

The stageR package allows automated stage-wise analysis of high-throughput gene expression data. The method is published in Genome Biology at

Author: Koen Van den Berge and Lieven Clement

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

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

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


biocViews Software, StatisticalMethod
Version 1.26.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License GNU General Public License version 3
Depends R (>= 3.4), SummarizedExperiment
Imports methods, stats
System Requirements
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Suggests knitr, rmarkdown, BiocStyle, methods, Biobase, edgeR, limma, DEXSeq, testthat
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Depends On Me rnaseqDTU
Imports Me
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Follow Installation instructions to use this package in your R session.

Source Package stageR_1.26.0.tar.gz
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macOS Binary (x86_64) stageR_1.26.0.tgz
macOS Binary (arm64) stageR_1.26.0.tgz
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Source Repository (Developer Access) git clone
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