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Article: Hadamard Kernel SVM: Applications for Breast Cancer Outcome Predictions

TitleHadamard Kernel SVM: Applications for Breast Cancer Outcome Predictions
Authors
Issue Date2017
PublisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmcsystbiol/
Citation
BMC Systems Biology, 2017, v. 11 n. suppl. 7, p. 138 How to Cite?
Description16th International Conference on Bioinformatics (InCoB 2017): Systems Biology
Persistent Identifierhttp://hdl.handle.net/10722/250545
ISSN
2017 Impact Factor: 2.05
2015 SCImago Journal Rankings: 1.493
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJiang, H-
dc.contributor.authorChing, WK-
dc.contributor.authorCheung, WS-
dc.contributor.authorHOU, W-
dc.contributor.authorYin, H-
dc.date.accessioned2018-01-18T04:28:46Z-
dc.date.available2018-01-18T04:28:46Z-
dc.date.issued2017-
dc.identifier.citationBMC Systems Biology, 2017, v. 11 n. suppl. 7, p. 138-
dc.identifier.issn1752-0509-
dc.identifier.urihttp://hdl.handle.net/10722/250545-
dc.description16th International Conference on Bioinformatics (InCoB 2017): Systems Biology-
dc.languageeng-
dc.publisherBioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmcsystbiol/-
dc.relation.ispartofBMC Systems Biology-
dc.rightsBMC Systems Biology. Copyright © BioMed Central Ltd.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleHadamard Kernel SVM: Applications for Breast Cancer Outcome Predictions-
dc.typeArticle-
dc.identifier.emailChing, WK: wching@hku.hk-
dc.identifier.authorityChing, WK=rp00679-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s12918-017-0514-1-
dc.identifier.hkuros283979-
dc.identifier.volume11-
dc.identifier.issuesuppl. 7-
dc.identifier.spage138-
dc.identifier.epage138-
dc.identifier.isiWOS:000418832800014-
dc.publisher.placeUnited Kingdom-

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