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This is the development version of EnrichmentBrowser; for the stable release version, see EnrichmentBrowser.

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

Bioconductor version: Development (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 gmail.com>

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


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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 2.33.1
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
System Requirements
Bug Reports https://github.com/lgeistlinger/EnrichmentBrowser/issues
See More
Suggests ALL, BiocStyle, ComplexHeatmap, DESeq2, ReportingTools, airway, biocGraph, hgu95av2.db, geneplotter, knitr, msigdbr, rmarkdown, statmod
Linking To
Depends On Me
Imports Me GSEABenchmarkeR, zenith
Suggests Me GenomicSuperSignature, roastgsa
Links To Me
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Package Archives

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

Source Package EnrichmentBrowser_2.33.1.tar.gz
Windows Binary EnrichmentBrowser_2.33.1.zip (64-bit only)
macOS Binary (x86_64) EnrichmentBrowser_2.33.1.tgz
macOS Binary (arm64) EnrichmentBrowser_2.33.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/EnrichmentBrowser
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EnrichmentBrowser
Bioc Package Browser https://code.bioconductor.org/browse/EnrichmentBrowser/
Package Short Url https://bioconductor.org/packages/EnrichmentBrowser/
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