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pairedGSEA

Paired DGE and DGS analysis for gene set enrichment analysis

Bioconductor version: 3.23 · Package version: 1.12.0

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.

Installation

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

BiocManager::install("pairedGSEA")

Details

MaintainerSøren Helweg Dam <sohdam@dtu.dk>
AuthorSøren Helweg Dam [cre, aut] (ORCID: <https://orcid.org/0000-0002-9895-0930>), Lars Rønn Olsen [aut] (ORCID: <https://orcid.org/0000-0002-6725-7850>), Kristoffer Vitting-Seerup [aut] (ORCID: <https://orcid.org/0000-0002-6450-0608>)
LicenseMIT + file LICENSE
URLhttps://github.com/shdam/pairedGSEA
Bug Reportshttps://github.com/shdam/pairedGSEA/issues
Downloads rank206
Source branchRELEASE_3_23
biocViewsAlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, GeneSetEnrichment, ImmunoOncology, Pathways, RNASeq, Software, Transcription

Documentation

Download

Dependencies

Depends: R (>= 4.4.0)

Imports: DESeq2, DEXSeq, limma, fgsea, msigdbr, sva, SummarizedExperiment, S4Vectors, BiocParallel, ggplot2, aggregation, stats, utils, methods, showtext

Suggests: writexl, readxl, readr, rhdf5, plotly, testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle, covr