Package: EnrichDO
Type: Package
Title: a Global Weighted Model for Disease Ontology Enrichment Analysis
Version: 1.5.1
Authors@R: c(
    person("Liang", "Cheng", email = "liangcheng@hrbmu.edu.cn", role = "aut"),
    person("Haixiu", "Yang", email = "yanghaixiu@ems.hrbmu.edu.cn", role = "aut"),
    person("Hongyu", "Fu", email = "2287531995@qq.com", role = c("aut", "cre"))
    )
Description: To implement disease ontology (DO) enrichment analysis, this package is designed and
    presents a double weighted model based on the latest annotations of the human genome with
    DO terms, by integrating the DO graph topology on a global scale. This package exhibits
    high accuracy that it can identify more specific DO terms, which alleviates the over
    enriched problem. The package includes various statistical models and visualization schemes
    for discovering the associations between genes and diseases from biological big data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: BiocGenerics, Rgraphviz, hash, S4Vectors, dplyr, ggplot2,
        graph, magrittr, methods, pheatmap, graphics, utils, purrr,
        tidyr, stats
biocViews: Annotation, Visualization, GeneSetEnrichment, Software
Depends: R (>= 4.0.0)
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BiocStyle
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-04-01 20:20:51 UTC; biocbuild
Author: Liang Cheng [aut],
  Haixiu Yang [aut],
  Hongyu Fu [aut, cre]
Maintainer: Hongyu Fu <2287531995@qq.com>
git_url: https://git.bioconductor.org/packages/EnrichDO
git_branch: devel
git_last_commit: ebc1cbf
git_last_commit_date: 2026-04-01
Repository: Bioconductor 3.23
Date/Publication: 2026-04-01
Built: R 4.6.0; ; 2026-04-02 03:03:04 UTC; unix
