DOI: 10.18129/B9.bioc.EnrichmentBrowser    

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 (3.7)

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 2.9.14
In Bioconductor since BioC 3.0 (R-3.1) (3.5 years)
License Artistic-2.0
Depends R (>= 3.4.0), SummarizedExperiment, graph
Imports AnnotationDbi, BiocFileCache, ComplexHeatmap, DESeq2, EDASeq, GSEABase, GO.db, KEGGREST, KEGGgraph, MASS, ReportingTools, Rgraphviz, S4Vectors, SPIA, biocGraph, edgeR, geneplotter, graphite, hwriter, limma, methods, pathview, rappdirs, safe, topGO
Suggests ALL, BiocStyle, airway, hgu95av2.db, knitr
Depends On Me
Imports Me
Suggests Me
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Source Package EnrichmentBrowser_2.9.14.tar.gz
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Source Repository git clone https://git.bioconductor.org/packages/EnrichmentBrowser
Package Short Url http://bioconductor.org/packages/EnrichmentBrowser/
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