Package: GOSemSim Type: Package Title: GO-terms Semantic Similarity Measures Version: 2.38.3 Authors@R: c( person(given = "Guangchuang", family = "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre")), person(given = "Alexey", family = "Stukalov", email = "astukalov@gmail.com", role = "ctb"), person(given= "Pingfan", family = "Guo", email = "1178431277@qq.com", role = "ctb"), person(given = "Chuanle", family = "Xiao", email = "xiaochuanle@126.com", role = "ctb"), person(given = "Lluís", family = "Revilla Sancho", email = "lluis.revilla@gmail.com", role = "ctb") ) Maintainer: Guangchuang Yu Description: The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. GOSemSim is an R package for semantic similarity computation among GO terms, sets of GO terms, gene products and gene clusters. GOSemSim implemented five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively. Depends: R (>= 4.2.0) LinkingTo: Rcpp Imports: AnnotationDbi, DBI, digest, GO.db, methods, rlang, stats, utils, yulab.utils (>= 0.2.3) Suggests: AnnotationHub, BiocManager, clusterProfiler, DOSE, knitr, org.Hs.eg.db, prettydoc, readr, rmarkdown, testthat, tidyr, tidyselect, ROCR VignetteBuilder: knitr ByteCompile: true License: Artistic-2.0 Encoding: UTF-8 URL: https://yulab-smu.top/biomedical-knowledge-mining-book/ BugReports: https://github.com/YuLab-SMU/GOSemSim/issues Packaged: 2026-06-28 11:12:50 UTC; root biocViews: Annotation, GO, Clustering, Pathways, Network, Software Roxygen: list(markdown = TRUE) Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake make libpng-dev libuv1-dev libssl-dev zlib1g-dev Repository: Bioconductor 3.23 Date/Publication: 2026-06-28 07:34:48 UTC RemoteUrl: https://github.com/bioc/GOSemSim RemoteRef: RELEASE_3_23 RemoteSha: 6979ad7531563d8d0d91acf450d208fabd93b05d NeedsCompilation: yes Author: Guangchuang Yu [aut, cre], Alexey Stukalov [ctb], Pingfan Guo [ctb], Chuanle Xiao [ctb], Lluís Revilla Sancho [ctb]