Automatic extension of Gene Ontology with flexible identification of candidate terms | Zendy

Jin-Bok Lee | Zendy; JungJae Kim | Zendy; Jong Cheol Park | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Automatic extension of Gene Ontology with flexible identification of candidate terms

Author(s) -

Jin-Bok Lee,

JungJae Kim,

Jong Cheol Park

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl010

Subject(s) - computer science , ontology , identification (biology) , vocabulary , extension (predicate logic) , matching (statistics) , face (sociological concept) , information retrieval , measure (data warehouse) , artificial intelligence , natural language processing , data mining , programming language , social science , linguistics , philosophy , botany , statistics , mathematics , epistemology , sociology , biology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research