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Seamless navigation through combined results of set-based and network-based enrichment analysis

Bioconductor version: Release (3.19)

The EnrichmentBrowser package implements essential functionality for the enrichment analysis of gene expression data. The analysis combines the advantages of set-based and network-based enrichment analysis in order to derive high-confidence gene sets and biological pathways that are differentially regulated in the expression data under investigation. Besides, the package facilitates the visualization and exploration of such sets and pathways.

Author: Ludwig Geistlinger [aut, cre], Gergely Csaba [aut], Mara Santarelli [ctb], Mirko Signorelli [ctb], Rohit Satyam [ctb], Marcel Ramos [ctb], Levi Waldron [ctb], Ralf Zimmer [aut]

Maintainer: Ludwig Geistlinger <ludwig.geistlinger at>

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


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:

Seamless navigation through combined results of set- & network-based enrichment analysis HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, ReportWriting, Software, Visualization
Version 2.34.1
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License Artistic-2.0
Depends SummarizedExperiment, graph
Imports AnnotationDbi, BiocFileCache, BiocManager, GSEABase, GO.db, KEGGREST, KEGGgraph, Rgraphviz, S4Vectors, SPIA, edgeR, graphite, hwriter, limma, methods, pathview, safe
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Suggests ALL, BiocStyle, ComplexHeatmap, DESeq2, ReportingTools, airway, biocGraph, hgu95av2.db, geneplotter, knitr, msigdbr, rmarkdown, statmod
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Depends On Me
Imports Me GSEABenchmarkeR, zenith
Suggests Me GenomicSuperSignature, epiregulon.extra, roastgsa
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Follow Installation instructions to use this package in your R session.

Source Package EnrichmentBrowser_2.34.1.tar.gz
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macOS Binary (x86_64) EnrichmentBrowser_2.34.1.tgz
macOS Binary (arm64) EnrichmentBrowser_2.34.1.tgz
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