Package: EnrichDO
Type: Package
Title: a Global Weighted Model for Disease Ontology Enrichment Analysis
Version: 1.6.0
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: 2026-04-29 21:04:35 UTC; root
Author: Liang Cheng [aut], Haixiu Yang [aut], Hongyu Fu [aut, cre]
Maintainer: Hongyu Fu <2287531995@qq.com>
Config/pak/sysreqs: libicu-dev zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 13:03:40 UTC
RemoteUrl: https://github.com/bioc/EnrichDO
RemoteRef: RELEASE_3_23
RemoteSha: 3e7cb7cf6d82028482853b49172bd5e0b9667edc
Built: R 4.6.0; ; 2026-04-29 21:10:46 UTC; windows
