Margin-Based Ensemble Classifier For Protein Fold Recognition

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dc.contributor.author Yang, Tao en_US
dc.contributor.author Kecman, Vojislav en_US
dc.contributor.author Cao, Longbing en_US
dc.contributor.author Zhang, Chengqi en_US
dc.contributor.author Huang, J en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T04:11:55Z
dc.date.available 2012-02-02T04:11:55Z
dc.date.issued 2011 en_US
dc.identifier 2010004623 en_US
dc.identifier.citation Yang Tao et al. 2011, 'Margin-Based Ensemble Classifier For Protein Fold Recognition', Pergamon-Elsevier Science Ltd, vol. 38, no. 10, pp. 12348-12355. en_US
dc.identifier.issn 0957-4174 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/14498
dc.description.abstract Recognition of protein folding patterns is an important step in protein structure and function predictions. Traditional sequence similarity-based approach fails to yield convincing predictions when proteins have low sequence identities, while the taxonom en_US
dc.language en_US
dc.publisher Pergamon-Elsevier Science Ltd en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.eswa.2011.04.014 en_US
dc.title Margin-Based Ensemble Classifier For Protein Fold Recognition en_US
dc.parent Expert Systems with Applications en_US
dc.journal.volume 38 en_US
dc.journal.number 10 en_US
dc.publocation Oxford en_US
dc.identifier.startpage 12348 en_US
dc.identifier.endpage 12355 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 010200 en_US
dc.personcode 108195 en_US
dc.personcode 0000059430 en_US
dc.personcode 034535 en_US
dc.personcode 011221 en_US
dc.personcode 0000020079 en_US
dc.percentage 100 en_US
dc.classification.name Applied Mathematics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity WOS:000292169500038 en_US
dc.description.keywords Support Vector Machine; Hierarchical Learning Architecture; Prediction en_US


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