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Article: SKM-SNP: SNP markers detection method

TitleSKM-SNP: SNP markers detection method
Authors
Liu, YLi, MCheung, YMSham, PCNg, MK
KeywordsK-mode
Single nucleotide polymorphism
SKM-SNP
Subspace clustering
Issue Date2010
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjbin
Citation
Journal of Biomedical Informatics, 2010, v. 43 n. 2, p. 233-239 How to Cite?
DOI: http://dx.doi.org/10.1016/j.jbi.2009.11.004
AbstractSKM-SNP, SNP markers detection program, is proposed to identify a set of relevant SNPs for the association between a disease and multiple marker genotypes. We employ a subspace categorical clustering algorithm to compute a weight for each SNP in the group of patient samples and the group of normal samples, and use the weights to identify the subsets of relevant SNPs that categorize these two groups. The experiments on both Schizophrenia and Parkinson Disease data sets containing genome-wide SNPs are reported to demonstrate the program. Results indicate that our method can find some relevant SNPs that categorize the disease samples. The online SKM-SNP program is available at http://www.math.hkbu.edu.hk/~mng/SKM-SNP/SKM-SNP.html. © 2009 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/137512
ISSN
1532-0464
2021 Impact Factor: 8.000
2020 SCImago Journal Rankings: 1.057
ISI Accession Number ID
WOS:000276012800007
Funding AgencyGrant Number
Research Grant Council201508
HKBU
Funding Information:

This work was financially supported by Research Grant Council 201508 and HKBU FRGs. We thank the participants and the submitters for depositing samples at the N1NDS Neurogenetics repository. The samples for this study are derived from the NINDS Neurogenetics repository at Coriell Cell Repositories. Access to the samples and to these data are available from the website: http://ccr.coriell.org/Sections/BrowseCatalog/DiseaseDetail.aspx? PgId=403&omim=PAR4000082coll=.

References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLiu, Yen_HK
dc.contributor.authorLi, Men_HK
dc.contributor.authorCheung, YMen_HK
dc.contributor.authorSham, PCen_HK
dc.contributor.authorNg, MKen_HK
dc.date.accessioned2011-08-26T14:26:52Z-
dc.date.available2011-08-26T14:26:52Z-
dc.date.issued2010en_HK
dc.identifier.citationJournal of Biomedical Informatics, 2010, v. 43 n. 2, p. 233-239en_HK
dc.identifier.issn1532-0464en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137512-
dc.description.abstractSKM-SNP, SNP markers detection program, is proposed to identify a set of relevant SNPs for the association between a disease and multiple marker genotypes. We employ a subspace categorical clustering algorithm to compute a weight for each SNP in the group of patient samples and the group of normal samples, and use the weights to identify the subsets of relevant SNPs that categorize these two groups. The experiments on both Schizophrenia and Parkinson Disease data sets containing genome-wide SNPs are reported to demonstrate the program. Results indicate that our method can find some relevant SNPs that categorize the disease samples. The online SKM-SNP program is available at http://www.math.hkbu.edu.hk/~mng/SKM-SNP/SKM-SNP.html. © 2009 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjbinen_HK
dc.relation.ispartofJournal of Biomedical Informaticsen_HK
dc.subjectK-modeen_HK
dc.subjectSingle nucleotide polymorphismen_HK
dc.subjectSKM-SNPen_HK
dc.subjectSubspace clusteringen_HK
dc.subject.meshAlgorithms-
dc.subject.meshGenetic Markers-
dc.subject.meshMedical Informatics - methods-
dc.subject.meshPolymorphism, Single Nucleotide-
dc.subject.meshSequence Analysis, DNA - methods-
dc.titleSKM-SNP: SNP markers detection methoden_HK
dc.typeArticleen_HK
dc.identifier.emailSham, PC: pcsham@hku.hken_HK
dc.identifier.authoritySham, PC=rp00459en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1016/j.jbi.2009.11.004en_HK
dc.identifier.pmid19925882-
dc.identifier.scopuseid_2-s2.0-77949265461en_HK
dc.identifier.hkuros189656en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77949265461&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume43en_HK
dc.identifier.issue2en_HK
dc.identifier.spage233en_HK
dc.identifier.epage239en_HK
dc.identifier.isiWOS:000276012800007-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLiu, Y=36062316500en_HK
dc.identifier.scopusauthoridLi, M=37069522200en_HK
dc.identifier.scopusauthoridCheung, YM=24465110000en_HK
dc.identifier.scopusauthoridSham, PC=34573429300en_HK
dc.identifier.scopusauthoridNg, MK=34571761900en_HK
dc.identifier.citeulike6191711-
dc.identifier.issnl1532-0464-

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