Automatic extension of Gene Ontology with flexible identification of candidate terms

Cited 9 time in webofscience Cited 0 time in scopus
  • Hit : 640
  • Download : 765
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.
Publisher
OXFORD UNIV PRESS
Issue Date
2006-03
Language
English
Article Type
Article
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

Keywords

BIOMEDICAL LITERATURE; GENOME DATABASE; EXTRACTION; COMMUNITY; RESOURCE; BIOLOGY; TEXT

Citation

BIOINFORMATICS, v.22, no.6, pp.665 - 670

ISSN
1367-4803
DOI
10.1093/bioinformatics/btl010
URI
http://hdl.handle.net/10203/3132
Appears in Collection
CS-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 9 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0