Literature DB >> 17270864

Identifying gene ontology concepts in natural-language text.

C E Crangle1, A Zbyslaw.   

Abstract

Gene-related discoveries are appearing in increasing volume in the scientific literature. The gene ontology (GO) provides standard ways of describing gene-related information, but GO terms seldom appear in their exact form in natural-language text. This paper describes a new tool, a biomedical text analyzer, for extracting GO terms and their variants from biomedical text.

Year:  2004        PMID: 17270864     DOI: 10.1109/IEMBS.2004.1403805

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Biomedical ontologies in action: role in knowledge management, data integration and decision support.

Authors:  O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

2.  Mining experimental evidence of molecular function claims from the literature.

Authors:  Colleen E Crangle; J Michael Cherry; Eurie L Hong; Alex Zbyslaw
Journal:  Bioinformatics       Date:  2007-10-17       Impact factor: 6.937

  2 in total

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