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Paired DGE and DGS analysis for gene set enrichment analysis

Bioconductor version: Release (3.19)

pairedGSEA makes it simple to run a paired Differential Gene Expression (DGE) and Differencital Gene Splicing (DGS) analysis. The package allows you to store intermediate results for further investiation, if desired. pairedGSEA comes with a wrapper function for running an Over-Representation Analysis (ORA) and functionalities for plotting the results.

Author: Søren Helweg Dam [cre, aut] , Lars Rønn Olsen [aut] , Kristoffer Vitting-Seerup [aut]

Maintainer: Søren Helweg Dam <sohdam at>

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


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:

User Guide HTML R Script
Reference Manual PDF


biocViews AlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, GeneSetEnrichment, ImmunoOncology, Pathways, RNASeq, Software, Transcription
Version 1.4.0
In Bioconductor since BioC 3.17 (R-4.3) (1 year)
License MIT + file LICENSE
Depends R (>= 4.3.0)
Imports DESeq2, DEXSeq, limma, fgsea, sva, SummarizedExperiment, S4Vectors, BiocParallel, ggplot2, aggregation, stats, utils, methods
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Suggests writexl, readxl, readr, rhdf5, msigdbr, plotly, testthat (>= 3.0.0), knitr, rmarkdown, covr, BiocStyle
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Follow Installation instructions to use this package in your R session.

Source Package pairedGSEA_1.4.0.tar.gz
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macOS Binary (x86_64) pairedGSEA_1.4.0.tgz
macOS Binary (arm64) pairedGSEA_1.4.0.tgz
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Source Repository (Developer Access) git clone
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