art function prediction algorithms in predicting sparsely annotated functions, without sacrificing ... based only on the ontology graph structure and genes associated with other labels, which ..... 3.4 clusDCA substantially improves prediction of.
Bioinformatics, 31, 2015, i357–i364 doi: 10.1093/bioinformatics/btv260 ISMB/ECCB 2015
Exploiting ontology graph for predicting sparsely annotated gene function Sheng Wang1,†, Hyunghoon Cho2,†, ChengXiang Zhai1, Bonnie Berger2,3 and Jian Peng1,* 1
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 2Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA and 3Department of Mathematics, MIT, Cambridge, MA, USA *To whom correspondence should be addressed. † The authors wish it to be known that, in their opinion, the first two authors should be regarded as Joint First Authors.
Abstract Motivation: Systematically predicting gene (or protein) function based on molecular interaction networks has become an important tool in refining and enhancing the existing annotation catalogs, such as the Gene Ontology (GO) database. However, functional labels with only a few (
