DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, JB | ko |
dc.contributor.author | Kim, J | ko |
dc.contributor.author | Park, Jong Cheol | ko |
dc.date.accessioned | 2008-02-21T07:15:12Z | - |
dc.date.available | 2008-02-21T07:15:12Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2006-03 | - |
dc.identifier.citation | BIOINFORMATICS, v.22, no.6, pp.665 - 670 | - |
dc.identifier.issn | 1367-4803 | - |
dc.identifier.uri | http://hdl.handle.net/10203/3132 | - |
dc.description | This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Bioinformatics following peer review. The definitive publisher-authenticated version is available online at: http://bioinformatics.oxfordjournals.org/cgi/reprint/22/6/665 | en |
dc.description.abstract | Motivation: Gene Ontology (GO) has been manually developed to provide a controlled vocabulary for gene product attributes. It continues to evolve with new concepts that are compiled mostly from existing concepts in a compositional way. If we consider the relatively slow growth rate of GO in the face of the fast accumulation of the biological data, it is much desirable to provide an automatic means for predicting new concepts from the existing ones. Results: We present a novel method that predicts more detailed concepts by utilizing syntactic relations among the existing concepts. We propose a validation measure for the automatically predicted concepts by matching the concepts to biomedical articles. We also suggest how to find a suitable direction for the extension of a constantly growing ontology such as GO. | - |
dc.description.sponsorship | This work was supported by MOST/KOSEF through AITrc. | en |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | OXFORD UNIV PRESS | - |
dc.title | Automatic extension of Gene Ontology with flexible identification of candidate terms | - |
dc.type | Article | - |
dc.identifier.wosid | 000236111600005 | - |
dc.identifier.scopusid | 2-s2.0-33645104774 | - |
dc.type.rims | ART | - |
dc.citation.volume | 22 | - |
dc.citation.issue | 6 | - |
dc.citation.beginningpage | 665 | - |
dc.citation.endingpage | 670 | - |
dc.citation.publicationname | BIOINFORMATICS | - |
dc.identifier.doi | 10.1093/bioinformatics/btl010 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Park, Jong Cheol | - |
dc.contributor.nonIdAuthor | Lee, JB | - |
dc.contributor.nonIdAuthor | Kim, J | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | BIOMEDICAL LITERATURE | - |
dc.subject.keywordPlus | GENOME DATABASE | - |
dc.subject.keywordPlus | EXTRACTION | - |
dc.subject.keywordPlus | BIOLOGY | - |
dc.subject.keywordPlus | TEXT | - |
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