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GOSemSim

GO-terms Semantic Similarity Measures

Bioconductor version: 3.24 · Package version: 2.39.3

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GOSemSim")

Details

MaintainerGuangchuang Yu <guangchuangyu@gmail.com>
AuthorGuangchuang Yu [aut, cre], Alexey Stukalov [ctb], Pingfan Guo [ctb], Chuanle Xiao [ctb], LluĂ­s Revilla Sancho [ctb]
LicenseArtistic-2.0
URLhttps://yulab-smu.top/biomedical-knowledge-mining-book/
Bug Reportshttps://github.com/YuLab-SMU/GOSemSim/issues
Downloads rank26164
Source branchdevel
biocViewsAnnotation, Clustering, GO, Network, Pathways, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageGOSemSim_2.39.3.tar.gz
Windows binary (x86_64)GOSemSim_2.39.3.zip
macOS binary (arm64)GOSemSim_2.39.3.tgz
macOS binary (x86_64)GOSemSim_2.39.3.tgz
Dependencies

Depends: R (>= 4.2.0)

Imports: AnnotationDbi, DBI, digest, GO.db, methods, Rcpp, rlang, stats, utils, yulab.utils (>= 0.2.3)

LinkingTo: Rcpp

Suggests: AnnotationHub, BiocParallel, BiocManager, clusterProfiler, DOSE, knitr, org.Hs.eg.db, quarto, readr, testthat, tidyr, tidyselect, ROCR

Reverse dependencies

Depends On Me (1): tRanslatome

Imports Me (7): clusterProfiler, DOSE, enrichplot, meshes, Rcpi, rrvgo, ViSEAGO

Suggests Me (7): BioCor, epiNEM, FELLA, genekitr, protr, scDiffCom, SemDist