Package: EnrichDO
Type: Package
Title: a Global Weighted Model for Disease Ontology Enrichment Analysis
Version: 1.0.0
Authors@R: c(
          person("Liang","Cheng",,"liangcheng@hrbmu.edu.cn",role=c("aut")),
          person("Haixiu","Yang",,"yanghaixiu@ems.hrbmu.edu.cn",role=c("aut")),
          person("Hongyu","Fu",,"2287531995@qq.com",role=c("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
LazyData: true
Imports: BiocGenerics, Rgraphviz, clusterProfiler, hash, S4Vectors,
        dplyr, ggplot2, graph, magrittr, methods, pheatmap, graphics,
        utils, purrr, readr, stringr, tidyr, grDevices, stats,
        RColorBrewer
biocViews: Annotation, Visualization, GeneSetEnrichment, Software
Depends: R (>= 3.5.0)
RoxygenNote: 7.3.1
Suggests: knitr, rmarkdown, org.Hs.eg.db, testthat (>= 3.0.0),
        BiocStyle
VignetteBuilder: knitr
Config/testthat/edition: 3
git_url: https://git.bioconductor.org/packages/EnrichDO
git_branch: RELEASE_3_20
git_last_commit: 49283aa
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
NeedsCompilation: no
Packaged: 2024-10-30 02:26:22 UTC; biocbuild
Author: Liang Cheng [aut],
  Haixiu Yang [aut],
  Hongyu Fu [cre]
Maintainer: Hongyu Fu <2287531995@qq.com>
Built: R 4.4.1; ; 2024-10-30 15:50:34 UTC; windows
