Package: GOSemSim Type: Package Title: GO-terms Semantic Similarity Measures Version: 2.39.2 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: Semantic similarity analysis of Gene Ontology (GO) annotations provides a quantitative framework for comparing GO terms, gene products, and gene clusters. GOSemSim implements widely used information content- and graph-based similarity measures, including the methods of Resnik, Schlicker, Jiang, Lin, Wang and TCSS. It also provides utilities for preparing annotation data and combining term-level similarities into gene- and cluster-level scores. Depends: R (>= 4.2.0) LinkingTo: Rcpp Imports: AnnotationDbi, DBI, digest, GO.db, methods, rlang, stats, utils, yulab.utils (>= 0.2.3) Suggests: AnnotationHub, BiocParallel, BiocManager, clusterProfiler, DOSE, knitr, org.Hs.eg.db, quarto, readr, testthat, tidyr, tidyselect, ROCR VignetteBuilder: quarto 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: 2026-06-29 14:19:00 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: https://bioc.r-universe.dev Date/Publication: 2026-06-29 09:06:57 UTC RemoteUrl: https://github.com/bioc/GOSemSim RemoteRef: HEAD RemoteSha: e6caf6daa62ff2442ced58e127a2a0b3d84ea33e NeedsCompilation: yes Author: Guangchuang Yu [aut, cre], Alexey Stukalov [ctb], Pingfan Guo [ctb], Chuanle Xiao [ctb], Lluís Revilla Sancho [ctb]