Using meshes for MeSH term enrichment and semantic analyses
Using meshes for MeSH term enrichment and semantic analyses
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DOI：
10.1093/bioinformatics/bty410
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发表时间：
2018-11
期刊：
影响因子：
5.8
通讯作者：
Guangchuang Yu
中科院分区：
文献类型：
--
作者：
Guangchuang Yu
摘要：医学主题词（MeSH）是用于手动索引MEDLINE/PubMed文章的NLM受控词汇表。MeSH为生命科学提供了独特而全面的注释。meshes包实现了MeSH术语和基因产物的语义相似性测量，以帮助在知识挖掘中使用MeSH词汇。还提供了使用MeSH注释从基因列表、表达谱和基因组区域提取生物学意义的富集分析。网格支持70多种物种，并提供高质量的可视化方法来帮助解释分析结果。可用性和实现：mesh在Artistic‐2.0许可下发布。源代码和文件可通过Bioconductor（https：//www.bioconductor.org/packages/meshes）免费获取。补充信息：补充数据可在Bioinformatics在线获得。
Summary: Medical Subject Headings (MeSH) is the NLM controlled vocabulary used to manually index articles for MEDLINE/PubMed. MeSH provides unique and comprehensive annotations for life science. The meshes package implements measurement of the semantic similarity of MeSH terms and gene products to help using MeSH vocabulary in knowledge mining. Enrichment analysis to extract the biological meanings from gene list, expression profile and genomic regions is also provided using MeSH annotation. Meshes supports more than 70 species and provides high quality visualization methods to help interpreting analysis results. Availability and implementation: meshes is released under Artistic‐2.0 License. The source code and documents are freely available through Bioconductor (https://www.bioconductor.org/packages/meshes). Supplementary information: Supplementary data are available at Bioinformatics online.