Package: vissE
Title: Visualising Set Enrichment Analysis Results
Version: 1.2.2
Authors@R: 
    person(given = "Dharmesh D.",
           family = "Bhuva",
           role = c("aut", "cre"),
           email = "bhuva.d@wehi.edu.au",
           comment = c(ORCID = "0000-0002-6398-9157"))
Description: This package enables the interpretation and analysis of results from a gene set enrichment analysis using network-based and text-mining approaches. Most enrichment analyses result in large lists of significant gene sets that are difficult to interpret. Tools in this package help build a similarity-based network of significant gene sets from a gene set enrichment analysis that can then be investigated for their biological function using text-mining approaches.
biocViews: Software, GeneExpression, GeneSetEnrichment,
        NetworkEnrichment, Network
License: GPL-3
Encoding: UTF-8
LazyDataCompression: bzip2
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Depends: R (>= 4.1)
Imports: igraph, methods, plyr, ggplot2, scico, RColorBrewer, tm,
        ggwordcloud, GSEABase, reshape2, grDevices, ggforce, msigdb,
        ggrepel, textstem, tidygraph, stats, scales, ggraph
Suggests: testthat, org.Hs.eg.db, org.Mm.eg.db, patchwork, singscore,
        knitr, rmarkdown, prettydoc, BiocStyle, pkgdown, covr
URL: https://davislaboratory.github.io/vissE
BugReports: https://github.com/DavisLaboratory/vissE/issues
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/vissE
git_branch: RELEASE_3_14
git_last_commit: 690dee2
git_last_commit_date: 2021-10-27
Date/Publication: 2021-10-28
NeedsCompilation: no
Packaged: 2021-10-29 04:12:02 UTC; biocbuild
Author: Dharmesh D. Bhuva [aut, cre] (<https://orcid.org/0000-0002-6398-9157>)
Maintainer: Dharmesh D. Bhuva <bhuva.d@wehi.edu.au>
Built: R 4.1.1; ; 2021-10-29 13:30:46 UTC; windows
