pairedGSEA

Paired DGE and DGS analysis for gene set enrichment analysis

Bioconductor version: Release (3.20)

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 dtu.dk>

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

Installation

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


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("pairedGSEA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pairedGSEA")

User Guide	HTML	R Script
Reference Manual	PDF
NEWS	Text
LICENSE	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	AlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, GeneSetEnrichment, ImmunoOncology, Pathways, RNASeq, Software, Transcription
Version	1.6.0
In Bioconductor since	BioC 3.17 (R-4.3) (1.5 years)
License	MIT + file LICENSE
Depends	R (>= 4.3.0)
Imports	DESeq2, DEXSeq, limma, fgsea, sva, SummarizedExperiment, S4Vectors, BiocParallel, ggplot2, aggregation, stats, utils, methods
System Requirements
URL	https://github.com/shdam/pairedGSEA
Bug Reports	https://github.com/shdam/pairedGSEA/issues

Suggests	writexl, readxl, readr, rhdf5, msigdbr, plotly, testthat (>= 3.0.0), knitr, rmarkdown, covr, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

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

Source Package	pairedGSEA_1.6.0.tar.gz
Windows Binary (x86_64)	pairedGSEA_1.6.0.zip
macOS Binary (x86_64)	pairedGSEA_1.6.0.tgz
macOS Binary (arm64)	pairedGSEA_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pairedGSEA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/pairedGSEA
Bioc Package Browser	https://code.bioconductor.org/browse/pairedGSEA/
Package Short Url	https://bioconductor.org/packages/pairedGSEA/
Package Downloads Report	Download Stats