DESCRIPTION

Package: EnrichmentBrowser
Version: 2.35.1
Date: 2023-07-29
Title: Seamless navigation through combined results of set-based and
       network-based enrichment analysis
Authors@R: c(
    person("Ludwig", "Geistlinger", role= c("aut", "cre"),
           email = "ludwig.geistlinger@gmail.com"),
    person("Gergely", "Csaba", role = "aut"),
    person("Mara", "Santarelli", role="ctb"),
    person("Mirko", "Signorelli", role="ctb"),
    person("Rohit","Satyam", role="ctb"),
    person("Marcel", "Ramos", role = "ctb"),
    person("Levi","Waldron", role="ctb"),
    person("Ralf","Zimmer", role="aut"))
Depends: SummarizedExperiment, graph
Imports: 
    AnnotationDbi,
    BiocFileCache,
    BiocManager,
    GSEABase, 
    GO.db,
    KEGGREST,
    KEGGgraph,
    Rgraphviz,
    S4Vectors,
    SPIA,
    edgeR,
    graphite,
    hwriter,
    limma,
    methods,
    pathview,
    safe
Suggests: 
    ALL, 
    BiocStyle,
    ComplexHeatmap,
    DESeq2,
    ReportingTools,
    airway,
    biocGraph,
    hgu95av2.db,
    geneplotter,
    knitr,
    msigdbr,
    rmarkdown,
    statmod
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
BugReports: https://github.com/lgeistlinger/EnrichmentBrowser/issues
Encoding: UTF-8
VignetteBuilder: knitr
biocViews:
    ImmunoOncology,
    Microarray,
    RNASeq,
    GeneExpression,
    DifferentialExpression,
    Pathways,
    GraphAndNetwork,
    Network,
    GeneSetEnrichment,
    NetworkEnrichment,
    Visualization,
    ReportWriting
RoxygenNote: 7.2.3