meshes

DOI: 10.18129/B9.bioc.meshes    

MeSH Enrichment and Semantic analyses

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("meshes")

Documentation

HTML R Script An introduction to meshes
PDF   Reference Manual
Text   NEWS

Details

biocViews Annotation, Clustering, MultipleComparison, Software
Version 1.4.0
In Bioconductor since BioC 3.4 (R-3.3) (1.5 years)
License Artistic-2.0
Depends R (>= 3.3.1), DOSE(>= 2.11.7)
Imports AnnotationDbi, GOSemSim(>= 1.99.3), MeSH.db, methods, rvcheck
LinkingTo
Suggests BiocStyle, knitr, MeSH.Cel.eg.db, MeSH.Hsa.eg.db
SystemRequirements
Enhances
URL https://guangchuangyu.github.io/meshes
BugReports https://github.com/GuangchuangYu/meshes/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package meshes_1.4.0.tar.gz
Windows Binary meshes_1.4.0.zip
Mac OS X 10.11 (El Capitan) meshes_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/meshes
Package Short Url http://bioconductor.org/packages/meshes/
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