Package: EnrichmentBrowser
Version: 2.8.7
Date: 2018-03-31
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, 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
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
VignetteBuilder: knitr
biocViews: Microarray, RNASeq, GeneExpression, DifferentialExpression,
        Pathways, GraphAndNetwork, Network, GeneSetEnrichment,
        NetworkEnrichment, Visualization, ReportWriting
NeedsCompilation: no
Packaged: 2018-04-01 00:28:11 UTC; biocbuild
Built: R 3.4.4; ; 2018-04-01 03:43:27 UTC; windows
