Package: EnrichDO 1.6.0

Hongyu Fu

EnrichDO: a Global Weighted Model for Disease Ontology Enrichment Analysis

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.

Authors:Liang Cheng [aut], Haixiu Yang [aut], Hongyu Fu [aut, cre]

EnrichDO_1.6.0.tar.gz
EnrichDO_1.6.0.zip(r-4.7)EnrichDO_1.6.0.zip(r-4.6)EnrichDO_1.6.0.zip(r-4.5)
EnrichDO_1.6.0.tgz(r-4.6-any)EnrichDO_1.6.0.tgz(r-4.5-any)
EnrichDO_1.6.0.tar.gz(r-4.7-any)EnrichDO_1.6.0.tar.gz(r-4.6-any)
EnrichDO_1.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
EnrichDO/json (API)

# Install 'EnrichDO' in R:
install.packages('EnrichDO', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dotermgenes - All DO term annotated genes.
  • doterms - Detailed annotation information for 4831 DO terms.

On BioConductor:EnrichDO-1.7.0(bioc 3.24)EnrichDO-1.6.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

annotationvisualizationgenesetenrichmentsoftware

4.18 score 10 scripts 248 downloads 11 exports 35 dependencies

Last updated from:3e7cb7cf6d (on RELEASE_3_23). Checks:1 NOTE, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE193
linux-devel-x86_64OK329
source / vignettesOK254
linux-release-x86_64OK382
macos-release-arm64OK275
macos-oldrel-arm64OK265
windows-develOK268
windows-releaseOK327
windows-oldrelOK220
wasm-releaseOK135

Exports:convDrawdoEnrichdrawBarGraphdrawGraphVizdrawHeatmapdrawPointGraphshowshowDoTermsviewDetailResultviewSummaryResultwriteResult

Dependencies:BiocGenericsclicpp11dplyrfarvergenericsggplot2gluegraphgtablehashisobandlabelinglifecyclemagrittrpheatmappillarpkgconfigpurrrR6RColorBrewerRgraphvizrlangS4VectorsS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

EnrichDO: a Global Weighted Model for Disease Ontology Enrichment Analysis

Rendered fromEnrichDO.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-03-31
Started: 2024-06-07