DESCRIPTION

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 <guangchuangyu@gmail.com>
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: 2012-08-29 06:44:50 UTC; root
biocViews: Annotation, GO, Clustering, Pathways, Network, Software
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.0.0