DOI: 10.18129/B9.bioc.EnrichmentBrowser    

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

Bioconductor version: Release (3.6)

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], Marcel Ramos [ctb], Levi Waldron [ctb], Ralf Zimmer [aut]

Maintainer: Ludwig Geistlinger <Ludwig.Geistlinger at sph.cuny.edu>

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PDF R Script EnrichmentBrowser Manual
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, ReportWriting, Software, Visualization
Version 2.8.7
In Bioconductor since BioC 3.0 (R-3.1) (3.5 years)
License Artistic-2.0
Depends R (>= 3.4.0), SummarizedExperiment, graph, pathview
Imports AnnotationDbi, BiocFileCache, ComplexHeatmap, DESeq2, EDASeq, GSEABase, GO.db, KEGGREST, KEGGgraph, MASS, ReportingTools, Rgraphviz, S4Vectors, SPIA, biocGraph, edgeR, geneplotter, hwriter, limma, methods, rappdirs, safe, topGO
Suggests ALL, BiocStyle, airway, hgu95av2.db, knitr
Depends On Me
Imports Me
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Source Package EnrichmentBrowser_2.8.7.tar.gz
Windows Binary EnrichmentBrowser_2.8.7.zip
Mac OS X 10.11 (El Capitan) EnrichmentBrowser_2.8.7.tgz
Source Repository git clone https://git.bioconductor.org/packages/EnrichmentBrowser
Package Short Url http://bioconductor.org/packages/EnrichmentBrowser/
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