DocumentCode
2078122
Title
Gene Ontology Rewritten for Computing Gene Functional Similarity
Author
Visconti, Alessia ; Cordero, Francesca ; Botta, Marco ; Calogero, Raffaele A.
Author_Institution
Dept. of Comput. Sci., Univ. of Torino, Torino, Italy
fYear
2010
fDate
15-18 Feb. 2010
Firstpage
694
Lastpage
699
Abstract
Discovery biological organisation of the cell in modules network is a challenging task. Currently, approaches based on a controlled vocabulary, as Gene Ontology, to identify the function similarity among a pair of genes have developed. We present RGO: a rewriting of the GO aiming at obtaining a more compact and informative ontology, leading to closer biological regulated GO terms. The RGO will help researcher to easily identify the genes belonging to the same network module without the need of additional data.
Keywords
biology computing; genetics; ontologies (artificial intelligence); biological organisation; biological regulated GO; gene computing; gene ontology; informative ontology; network module; Biology computing; Cells (biology); Competitive intelligence; Computer networks; Computer science; Databases; Intelligent networks; Ontologies; Software systems; Vocabulary; functional similarity measure; gene ontology; module network;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex, Intelligent and Software Intensive Systems (CISIS), 2010 International Conference on
Conference_Location
Krakow
Print_ISBN
978-1-4244-5917-9
Type
conf
DOI
10.1109/CISIS.2010.30
Filename
5447520
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