Package: EnrichmentBrowser
Version: 2.10.11
Date: 2018-08-16
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: 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
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: Microarray, RNASeq, GeneExpression, DifferentialExpression,
        Pathways, GraphAndNetwork, Network, GeneSetEnrichment,
        NetworkEnrichment, Visualization, ReportWriting
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/EnrichmentBrowser
git_branch: RELEASE_3_7
git_last_commit: 96bfeea
git_last_commit_date: 2018-08-26
Date/Publication: 2018-08-27
NeedsCompilation: no
Packaged: 2018-08-28 02:13:56 UTC; biocbuild
Built: R 3.5.1; ; 2018-08-28 09:56:57 UTC; windows
