Identifying informative subsets of the Gene Ontology with information bottleneck methods | Zendy

Bo Jin | Zendy; Xinghua Lu | Zendy

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Identifying informative subsets of the Gene Ontology with information bottleneck methods

Author(s) -

Bo Jin,

Xinghua Lu

Publication year - 2010

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/btq449

Subject(s) - computer science , ontology , framenet , bottleneck , context (archaeology) , semantic similarity , information retrieval , vocabulary , annotation , semantics (computer science) , information bottleneck method , task (project management) , artificial intelligence , natural language processing , controlled vocabulary , cluster analysis , philosophy , linguistics , management , epistemology , parsing , programming language , economics , biology , embedded system , paleontology

The Gene Ontology (GO) is a controlled vocabulary designed to represent the biological concepts pertaining to gene products. This study investigates the methods for identifying informative subsets of GO terms in an automatic and objective fashion. This task in turn requires addressing the following issues: how to represent the semantic context of GO terms, what metrics are suitable for measuring the semantic differences between terms, how to identify an informative subset that retains as much as possible of the original semantic information of GO.

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