meshes

This is the development version of meshes; for the stable release version, see meshes.

MeSH Enrichment and Semantic analyses


Bioconductor version: Development (3.20)

MeSH (Medical Subject Headings) is the NLM controlled vocabulary used to manually index articles for MEDLINE/PubMed. MeSH terms were associated by Entrez Gene ID by three methods, gendoo, gene2pubmed and RBBH. This association is fundamental for enrichment and semantic analyses. meshes supports enrichment analysis (over-representation and gene set enrichment analysis) of gene list or whole expression profile. The semantic comparisons of MeSH terms provide quantitative ways to compute similarities between genes and gene groups. meshes implemented five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively and supports more than 70 species.

Author: Guangchuang Yu [aut, cre]

Maintainer: Guangchuang Yu <guangchuangyu at gmail.com>

Citation (from within R, enter citation("meshes")):

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("meshes")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("meshes")
meshes HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Annotation, Clustering, MultipleComparison, Software
Version 1.31.2
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License Artistic-2.0
Depends R (>= 4.1.0)
Imports AnnotationDbi, DOSE, enrichplot, GOSemSim(>= 2.31.2), methods, utils, AnnotationHub, MeSHDbi, yulab.utils (>= 0.1.5)
System Requirements
URL https://yulab-smu.top/biomedical-knowledge-mining-book/
Bug Reports https://github.com/GuangchuangYu/meshes/issues
See More
Suggests knitr, rmarkdown, prettydoc
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package meshes_1.31.2.tar.gz
Windows Binary meshes_1.31.2.zip
macOS Binary (x86_64) meshes_1.31.2.tgz
macOS Binary (arm64) meshes_1.31.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/meshes
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/meshes
Bioc Package Browser https://code.bioconductor.org/browse/meshes/
Package Short Url https://bioconductor.org/packages/meshes/
Package Downloads Report Download Stats