meshes: MeSH Enrichment and Semantic analyses

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.

meshes is released within the Bioconductor project and the source code is hosted on GitHub.

Author

Guangchuang Yu, School of Basic Medical Sciences, Southern Medical University.

Installation

Install meshes is easy, follow the guide on the Bioconductor page:

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

Overview

Enrichment Analysis

  • Over-representation analysis
  • Gene set enrichment analysis

Semantic Analysis

  • MeSH term semantic similarity
  • Gene semantic similarity

Visualization

  • barplot
  • cnetplot
  • dotplot
  • enrichMap
  • gseaplot
  • upsetplot
  • simplot

Find out details and examples on Documentation.

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