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pairedGSEA

This is thedevelopment version of pairedGSEA; for the stable release version, seepairedGSEA.

Paired DGE and DGS analysis for gene set enrichment analysis

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DOI: 10.18129/B9.bioc.pairedGSEA


Bioconductor version: Development (3.23)

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]ORCID iD ORCID: 0000-0002-9895-0930, Lars Rønn Olsen [aut]ORCID iD ORCID: 0000-0002-6725-7850, Kristoffer Vitting-Seerup [aut]ORCID iD ORCID: 0000-0002-6450-0608

Maintainer: Søren Helweg Dam <sohdam at dtu.dk>

Citation (from within R, entercitation("pairedGSEA")):

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("pairedGSEA")

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

Documentation

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

browseVignettes("pairedGSEA")
User GuideHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAlternativeSplicing,DifferentialExpression,DifferentialSplicing,GeneExpression,GeneSetEnrichment,ImmunoOncology,Pathways,RNASeq,Software,Transcription
Version1.11.0
In Bioconductor sinceBioC 3.17 (R-4.3) (2.5 years)
LicenseMIT + fileLICENSE
DependsR (>= 4.4.0)
ImportsDESeq2,DEXSeq,limma,fgsea,msigdbr,sva,SummarizedExperiment,S4Vectors,BiocParallel,ggplot2,aggregation, stats, utils, methods,showtext
System Requirements
URLhttps://github.com/shdam/pairedGSEA
Bug Reportshttps://github.com/shdam/pairedGSEA/issues
See More
Suggestswritexl,readxl,readr,rhdf5,plotly,testthat (>= 3.0.0),knitr,rmarkdown,BiocStyle,covr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagepairedGSEA_1.11.0.tar.gz
Windows Binary (x86_64) pairedGSEA_1.11.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)pairedGSEA_1.11.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/pairedGSEA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/pairedGSEA
Bioc Package Browserhttps://code.bioconductor.org/browse/pairedGSEA/
Package Short Urlhttps://bioconductor.org/packages/pairedGSEA/
Package Downloads ReportDownload Stats

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