Literature DB >> 15919728

MeSHer: identifying biological concepts in microarray assays based on PubMed references and MeSH terms.

Amira Djebbari1, Svetlana Karamycheva, Eleanor Howe, John Quackenbush.   

Abstract

UNLABELLED: 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.org. SUPPLEMENTARY INFORMATION: Results from the analysis of significant genes from the published Ang II study.

Entities:  

Mesh:

Year:  2005        PMID: 15919728     DOI: 10.1093/bioinformatics/bti503

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

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5.  Quantitative biomedical annotation using medical subject heading over-representation profiles (MeSHOPs).

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7.  GeneMesh: a web-based microarray analysis tool for relating differentially expressed genes to MeSH terms.

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8.  Editorial research and the publication process in biomedicine and health: Report from the Esteve Foundation Discussion Group, December 2012.

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  8 in total

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