Package: EnrichmentBrowser Version: 2.37.0 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