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Article: A New Method for Preliminary Identification of Gene Regulatory Networks from Gene Microarray Cancer Data Using Ridge Partial Least Squares with Recursive Feature Elimination and Novel Brier and Occurrence Probability Measures

TitleA New Method for Preliminary Identification of Gene Regulatory Networks from Gene Microarray Cancer Data Using Ridge Partial Least Squares with Recursive Feature Elimination and Novel Brier and Occurrence Probability Measures
Authors
Chan, SCWu, HCTsui, KM
KeywordsCancer classification
gene regulatory network (GRN)
logistic regression (LR)
microarray data
novel Brier and occurrence probability (OP) measures
ridge partial least squares (RPLS) regression
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=3468
Citation
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2012, v. 42 n. 6, p. 1514-1528 How to Cite?
DOI: http://dx.doi.org/10.1109/TSMCA.2012.2199302
Persistent Identifierhttp://hdl.handle.net/10722/164063
ISSN
1083-4427
2012 Impact Factor: 2.183
2020 SCImago Journal Rankings: 1.776
ISI Accession Number ID
WOS:000310147000018

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_US
dc.contributor.authorWu, HCen_US
dc.contributor.authorTsui, KMen_US
dc.date.accessioned2012-09-20T07:55:08Z-
dc.date.available2012-09-20T07:55:08Z-
dc.date.issued2012en_US
dc.identifier.citationIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2012, v. 42 n. 6, p. 1514-1528en_US
dc.identifier.issn1083-4427-
dc.identifier.urihttp://hdl.handle.net/10722/164063-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=3468-
dc.relation.ispartofIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humansen_US
dc.subjectCancer classification-
dc.subjectgene regulatory network (GRN)-
dc.subjectlogistic regression (LR)-
dc.subjectmicroarray data-
dc.subjectnovel Brier and occurrence probability (OP) measures-
dc.subjectridge partial least squares (RPLS) regression-
dc.titleA New Method for Preliminary Identification of Gene Regulatory Networks from Gene Microarray Cancer Data Using Ridge Partial Least Squares with Recursive Feature Elimination and Novel Brier and Occurrence Probability Measuresen_US
dc.typeArticleen_US
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_US
dc.identifier.emailTsui, KM: kmtsui11@hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityTsui, KM=rp00181en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSMCA.2012.2199302-
dc.identifier.scopuseid_2-s2.0-84867838193-
dc.identifier.hkuros208557en_US
dc.identifier.hkuros225071-
dc.identifier.eissn1558-2426-
dc.identifier.isiWOS:000310147000018-
dc.identifier.issnl1083-4427-

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