Package: EnrichDO 1.1.1

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 [cre]

EnrichDO_1.1.1.tar.gz
EnrichDO_1.1.1.zip(r-4.5)EnrichDO_1.1.1.zip(r-4.4)EnrichDO_1.1.1.zip(r-4.3)
EnrichDO_1.1.1.tgz(r-4.4-any)EnrichDO_1.1.1.tgz(r-4.3-any)
EnrichDO_1.1.1.tar.gz(r-4.5-noble)EnrichDO_1.1.1.tar.gz(r-4.4-noble)
EnrichDO_1.1.1.tgz(r-4.4-emscripten)EnrichDO_1.1.1.tgz(r-4.3-emscripten)
EnrichDO.pdf |EnrichDO.html
EnrichDO/json (API)

# Install 'EnrichDO' in R:
install.packages('EnrichDO', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • dotermgenes - All DO term annotated genes.
  • doterms - Detailed annotation information for 4831 DO terms.

On BioConductor:EnrichDO-1.1.0(bioc 3.21)EnrichDO-1.0.0(bioc 3.20)

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

annotationvisualizationgenesetenrichmentsoftware

4.74 score 7 scripts 9 exports 118 dependencies

Last updated 23 days agofrom:ef3d0ef61c. Checks:OK: 2 NOTE: 3 ERROR: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winNOTENov 29 2024
R-4.4-macERRORDec 04 2024
R-4.3-winOKNov 29 2024
R-4.3-macERRORDec 04 2024

Exports:convDrawdoEnrichdrawBarGraphdrawGraphVizdrawHeatmapdrawPointGraphshowshowDoTermswriteResult

Dependencies:AnnotationDbiapeaplotaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemcliclusterProfilercodetoolscolorspacecowplotcpp11crayoncurldata.tableDBIdigestDOSEdplyrenrichplotfansifarverfastmapfastmatchfgseaformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataggforceggfunggnewscaleggplot2ggplotifyggrepelggtangleggtreeglueGO.dbGOSemSimgraphgridGraphicsgsongtablehashhttrigraphIRangesisobandjsonliteKEGGRESTlabelinglambda.rlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpatchworkpheatmappillarpkgconfigplogrplyrpngpolyclippurrrqvalueR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppEigenreshape2RgraphvizrlangRSQLiteS4VectorsscalesscatterpiesnowstringistringrsyssystemfontstibbletidyrtidyselecttidytreetreeiotweenrUCSC.utilsutf8vctrsviridisLitewithrXVectoryulab.utilszlibbioc

EnrichDO: a Global Weighted Model for Disease Ontology Enrichment Analysis

Rendered fromEnrichDO.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2024-11-28
Started: 2024-06-07