Information theory applied to the sparse gene ontology annotation network to predict novel gene function | Zendy

Ying Tao | Zendy; Lee Sam | Zendy; Jianrong Li | Zendy; Carol Friedman | Zendy; Yves A. Lussier | Zendy

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Information theory applied to the sparse gene ontology annotation network to predict novel gene function

Author(s) -

Ying Tao,

Lee Sam,

Jianrong Li,

Carol Friedman,

Yves A. Lussier

Publication year - 2007

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/btm195

Subject(s) - computer science , annotation , gene ontology , gene annotation , artificial intelligence , precision and recall , function (biology) , similarity (geometry) , semantic similarity , machine learning , data mining , gene , image (mathematics) , genome , biology , genetics , gene expression

Despite advances in the gene annotation process, the functions of a large portion of gene products remain insufficiently characterized. In addition, the in silico prediction of novel Gene Ontology (GO) annotations for partially characterized gene functions or processes is highly dependent on reverse genetic or functional genomic approaches. To our knowledge, no prediction method has been demonstrated to be highly accurate for sparsely annotated GO terms (those associated to fewer than 10 genes).

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