Package: vissE Title: Visualising Set Enrichment Analysis Results Version: 1.21.0 Authors@R: c( person(given = "Dharmesh D.", family = "Bhuva", role = c("aut", "cre"), email = "bhuva.d@wehi.edu.au", comment = c(ORCID = "0000-0002-6398-9157")), person(given = "Ahmed", family = "Mohamed", role = c("ctb"), email = "mohamed.a@wehi.edu.au") ) 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: 7.2.3 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 Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev libglpk-dev libicu-dev libjpeg-dev libpng-dev libxml2-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:56:07 UTC RemoteUrl: https://github.com/bioc/vissE RemoteRef: HEAD RemoteSha: faf767d8c4c9c3efdfe03a1dcfdd9c505a0add91 NeedsCompilation: no Packaged: 2026-06-17 07:36:10 UTC; root Author: Dharmesh D. Bhuva [aut, cre] (ORCID: ), Ahmed Mohamed [ctb] Maintainer: Dharmesh D. Bhuva