The role of indirect connections in gene networks in predicting function | Zendy

Jesse Gillis | Zendy; Paul Pavlidis | Zendy

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The role of indirect connections in gene networks in predicting function

Author(s) -

Jesse Gillis,

Paul Pavlidis

Publication year - 2011

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/btr288

Subject(s) - computer science , function (biology) , data mining , code (set theory) , gene regulatory network , source code , matlab , algorithm , theoretical computer science , machine learning , artificial intelligence , gene , gene expression , programming language , biology , genetics , set (abstract data type)

Gene networks have been used widely in gene function prediction algorithms, many based on complex extensions of the 'guilt by association' principle. We sought to provide a unified explanation for the performance of gene function prediction algorithms in exploiting network structure and thereby simplify future analysis.

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