Package: vissE
Title: Visualising Set Enrichment Analysis Results
Version: 1.0.0
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: 7.1.1
Depends: R (>= 4.1)
Imports: igraph, methods, plyr, ggplot2, ggnewscale, scico,
        RColorBrewer, tm, ggwordcloud, GSEABase, reshape2, grDevices,
        ggforce, msigdb, Matrix, ggrepel, textstem
Suggests: testthat, org.Hs.eg.db, org.Mm.eg.db, ggpubr, singscore,
        knitr, rmarkdown, prettydoc, BiocStyle
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_13
git_last_commit: 1a90b74
git_last_commit_date: 2021-05-19
Date/Publication: 2021-05-19
NeedsCompilation: no
Packaged: 2021-05-20 02:54:29 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 4.1.0; ; 2021-05-20 10:32:02 UTC; windows
