Bioc2026 Registration Open!

GSEABenchmarkeR

Reproducible GSEA Benchmarking

Bioconductor version: 3.23 · Package version: 1.32.0

The GSEABenchmarkeR package implements an extendable framework for reproducible evaluation of set- and network-based methods for enrichment analysis of gene expression data. This includes support for the efficient execution of these methods on comprehensive real data compendia (microarray and RNA-seq) using parallel computation on standard workstations and institutional computer grids. Methods can then be assessed with respect to runtime, statistical significance, and relevance of the results for the phenotypes investigated.

Installation

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

BiocManager::install("GSEABenchmarkeR")

Details

MaintainerLudwig Geistlinger <ludwig.geistlinger@gmail.com>
AuthorLudwig Geistlinger [aut, cre], Gergely Csaba [aut], Mara Santarelli [ctb], Lucas Schiffer [ctb], Marcel Ramos [ctb], Ralf Zimmer [aut], Levi Waldron [aut]
LicenseArtistic-2.0
URLhttps://github.com/waldronlab/GSEABenchmarkeR
Bug Reportshttps://github.com/waldronlab/GSEABenchmarkeR/issues
Downloads rank357
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, ReportWriting, Software, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.5.0), Biobase, SummarizedExperiment

Imports: AnnotationDbi, AnnotationHub, BiocFileCache, BiocParallel, edgeR, EnrichmentBrowser, ExperimentHub, grDevices, graphics, KEGGandMetacoreDzPathwaysGEO, KEGGdzPathwaysGEO, methods, S4Vectors, stats, utils

Suggests: BiocStyle, GSE62944, knitr, rappdirs, rmarkdown

Reverse dependencies

Suggests Me (1): roastgsa