Package: EnrichmentBrowser
Version: 2.16.1
Date: 2019-12-04
Title: Seamless navigation through combined results of set-based and
        network-based enrichment analysis
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@sph.cuny.edu>
Depends: SummarizedExperiment, graph
Imports: AnnotationDbi, BiocFileCache, BiocManager, ComplexHeatmap,
        GSEABase, GO.db, KEGGREST, KEGGgraph, Rgraphviz, S4Vectors,
        SPIA, biocGraph, edgeR, geneplotter, graphite, hwriter, limma,
        methods, pathview, rappdirs, safe, topGO
Suggests: ALL, BiocStyle, ReportingTools, airway, hgu95av2.db, knitr
Description: 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.
License: Artistic-2.0
Encoding: UTF-8
VignetteBuilder: knitr
biocViews: ImmunoOncology, Microarray, RNASeq, GeneExpression,
        DifferentialExpression, Pathways, GraphAndNetwork, Network,
        GeneSetEnrichment, NetworkEnrichment, Visualization,
        ReportWriting
RoxygenNote: 6.1.1
git_url: https://git.bioconductor.org/packages/EnrichmentBrowser
git_branch: RELEASE_3_10
git_last_commit: 31bdf3f
git_last_commit_date: 2019-12-04
Date/Publication: 2019-12-04
NeedsCompilation: no
Packaged: 2019-12-05 03:33:39 UTC; biocbuild
Built: R 3.6.1; ; 2019-12-05 14:21:32 UTC; windows
