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
| Maintainer | Guangchuang Yu <guangchuangyu@gmail.com> |
| Author | Guangchuang Yu [aut, cre], Alexey Stukalov [ctb], Pingfan Guo [ctb], Chuanle Xiao [ctb], LluĂs Revilla Sancho [ctb] |
| License | Artistic-2.0 |
| URL | https://yulab-smu.top/biomedical-knowledge-mining-book/ |
| Bug Reports | https://github.com/YuLab-SMU/GOSemSim/issues |
| Downloads rank | 26164 |
| Source branch | devel |
| biocViews | Annotation, Clustering, GO, Network, Pathways, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GOSemSim_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