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Article: A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

TitleA comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits
Authors
KeywordsBayesian network
Classification
Graph-based semi-supervised learning
Multiple data sources
Relevance vector machine
Semi-definite programming (SDP)-support vector machine
Issue Date2017
PublisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmcbioinformatics/
Citation
BMC Bioinformatics, 2017, v. 18, p. 539 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/250174
ISSN
2023 Impact Factor: 2.9
2023 SCImago Journal Rankings: 1.005
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYAN, K-
dc.contributor.authorZhao, H-
dc.contributor.authorPang, HMH-
dc.date.accessioned2017-12-20T09:21:51Z-
dc.date.available2017-12-20T09:21:51Z-
dc.date.issued2017-
dc.identifier.citationBMC Bioinformatics, 2017, v. 18, p. 539-
dc.identifier.issn1471-2105-
dc.identifier.urihttp://hdl.handle.net/10722/250174-
dc.languageeng-
dc.publisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmcbioinformatics/-
dc.relation.ispartofBMC Bioinformatics-
dc.rightsBMC Bioinformatics. Copyright © BioMed Central Ltd.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBayesian network-
dc.subjectClassification-
dc.subjectGraph-based semi-supervised learning-
dc.subjectMultiple data sources-
dc.subjectRelevance vector machine-
dc.subjectSemi-definite programming (SDP)-support vector machine-
dc.titleA comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits-
dc.typeArticle-
dc.identifier.emailPang, HMH: herbpang@hku.hk-
dc.identifier.authorityPang, HMH=rp01857-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s12859-017-1982-4-
dc.identifier.scopuseid_2-s2.0-85043250088-
dc.identifier.hkuros283850-
dc.identifier.volume18-
dc.identifier.spage539-
dc.identifier.epage539-
dc.identifier.isiWOS:000417558100003-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1471-2105-

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