MeSHer: Identifying biological concepts in microarray assays based on PubMed references and MeSH terms
MeSHer: Identifying biological concepts in microarray assays based on PubMed references and MeSH terms
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DOI：
10.1093/bioinformatics/bti503
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发表时间：
2005-08-01
期刊：
影响因子：
5.8
通讯作者：
Quackenbush, J
中科院分区：
文献类型：
--
作者：
Djebbari, A;Karamycheva, S;Quackenbush, J
MeSHer 使用简单的统计方法来识别从 PubMed 数据库获取的医学主题词（MeSH 术语）形式的生物学概念，相对于与基础 DNA 微阵列平台上的总体基因集合相关的基因组，这些概念在已识别的基因集中明显过多。作为演示，我们将这种方法应用于从血管紧张素 II (Ang II) 治疗对心脏基因表达的影响的已发表研究中获得的基因列表，并证明该方法可以帮助解释由此产生的“重要”基因集。可用性：该软件可从 http://www.tm4.org 获取。联系方式：johnq@jimmy.harvard.edu 补充信息：对已发表的 Ang II 研究中的重要基因进行分析的结果。
MeSHer uses a simple statistical approach to identify biological concepts in the form of Medical Subject Headings (MeSH terms) obtained from the PubMed database that are significantly overrepresented within the identified gene set relative to those associated with the overall collection of genes on the underlying DNA microarray platform. As a demonstration, we apply this approach to gene lists acquired from a published study of the effects of angiotensin II (Ang II) treatment on cardiac gene expression and demonstrate that this approach can aid in the interpretation of the resulting 'significant' gene set.Availability: The software is available at http://www.tm4.orgContact: johnq@jimmy.harvard.eduSupplementary information: Results from the analysis of significant genes from the published Ang II study.