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Extending gene ontology with gene association networks
Author(s) -
Jiajie Peng,
Tao Wang,
Jixuan Wang,
Yadong Wang,
Jin Chen
Publication year - 2015
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/btv712
Subject(s) - computer science , construct (python library) , gene ontology , biological network , ontology , component (thermodynamics) , process (computing) , software , biological database , association (psychology) , gene regulatory network , data mining , resource (disambiguation) , gene nomenclature , artificial intelligence , gene , computational biology , bioinformatics , programming language , biology , taxonomy (biology) , computer network , biochemistry , gene expression , philosophy , physics , epistemology , thermodynamics , botany , nomenclature
Gene ontology (GO) is a widely used resource to describe the attributes for gene products. However, automatic GO maintenance remains to be difficult because of the complex logical reasoning and the need of biological knowledge that are not explicitly represented in the GO. The existing studies either construct whole GO based on network data or only infer the relations between existing GO terms. None is purposed to add new terms automatically to the existing GO.

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