Package: DOSE Type: Package Title: Disease Ontology Semantic and Enrichment analysis Version: 4.6.0 Authors@R: c( person(given = "Guangchuang", family = "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre")), person(given = "Li-Gen", family = "Wang", email = "reeganwang020@gmail.com", role = "ctb"), person(given = "Vladislav", family = "Petyuk", email = "petyuk@gmail.com", role = "ctb"), person(given = "Giovanni", family = "Dall'Olio", email = "giovanni.dallolio@upf.edu", role = "ctb")) Maintainer: Guangchuang Yu Description: This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data. Depends: R (>= 3.5.0) Imports: AnnotationDbi, enrichit (>= 0.0.4), ggplot2, GOSemSim (>= 2.37.1), methods, reshape2, utils, yulab.utils (> 0.2.2) Suggests: prettydoc, clusterProfiler, gson (>= 0.0.5), knitr, memoise, org.Hs.eg.db, rmarkdown, testthat VignetteBuilder: knitr ByteCompile: true License: Artistic-2.0 Encoding: UTF-8 URL: https://yulab-smu.top/contribution-knowledge-mining/ BugReports: https://github.com/GuangchuangYu/DOSE/issues Packaged: 2026-10-01 11:31:13 UTC; root biocViews: Annotation, Visualization, MultipleComparison, GeneSetEnrichment, Pathways, Software RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev libpng-dev libuv1-dev libssl-dev zlib1g-dev Repository: Bioconductor 3.23 Date/Publication: 2026-04-28 12:35:30 UTC RemoteUrl: https://github.com/bioc/DOSE RemoteRef: RELEASE_3_23 RemoteSha: 5a273eb359869ce9767bc858ef0676e05e541eda NeedsCompilation: no Author: Guangchuang Yu [aut, cre], Li-Gen Wang [ctb], Vladislav Petyuk [ctb], Giovanni Dall'Olio [ctb]