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Article: A semiparametric regression model for oligonucleotide arrays

TitleA semiparametric regression model for oligonucleotide arrays
Authors
KeywordsAffymetrix
Gene expression
Microarray
Semiparametric spline smoothing
Issue Date2003
PublisherWayne State University, College of Education. The Journal's web site is located at http://www.jmasm.com/
Citation
Journal Of Modern Applied Statistical Methods, 2003, v. 2 n. 1, p. 256-267 How to Cite?
AbstractA semiparametric model incorporating the spline smoothing technique is proposed to study oligonucleotide gene expression data. No specific parametric functional form is assumed for mismatch probe intensities, which allows much more flexibility in the fitted model. The new approach improves the model fitting, hence the estimation of expression indexes. The method is applied to a data set of 18 HuGeneFL arrays. Copyright © 2003 JMASM, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/146561
ISSN
2015 SCImago Journal Rankings: 0.144
References

 

DC FieldValueLanguage
dc.contributor.authorHu, Jen_HK
dc.contributor.authorYin, Gen_HK
dc.date.accessioned2012-05-02T08:37:01Z-
dc.date.available2012-05-02T08:37:01Z-
dc.date.issued2003en_HK
dc.identifier.citationJournal Of Modern Applied Statistical Methods, 2003, v. 2 n. 1, p. 256-267en_HK
dc.identifier.issn1538-9472en_HK
dc.identifier.urihttp://hdl.handle.net/10722/146561-
dc.description.abstractA semiparametric model incorporating the spline smoothing technique is proposed to study oligonucleotide gene expression data. No specific parametric functional form is assumed for mismatch probe intensities, which allows much more flexibility in the fitted model. The new approach improves the model fitting, hence the estimation of expression indexes. The method is applied to a data set of 18 HuGeneFL arrays. Copyright © 2003 JMASM, Inc.en_HK
dc.languageengen_US
dc.publisherWayne State University, College of Education. The Journal's web site is located at http://www.jmasm.com/en_HK
dc.relation.ispartofJournal of Modern Applied Statistical Methodsen_HK
dc.subjectAffymetrixen_HK
dc.subjectGene expressionen_HK
dc.subjectMicroarrayen_HK
dc.subjectSemiparametric spline smoothingen_HK
dc.titleA semiparametric regression model for oligonucleotide arraysen_HK
dc.typeArticleen_HK
dc.identifier.emailYin, G: gyin@hku.hken_HK
dc.identifier.authorityYin, G=rp00831en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-18644371701en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-18644371701&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.issue1en_HK
dc.identifier.spage256en_HK
dc.identifier.epage267en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHu, J=7406418151en_HK
dc.identifier.scopusauthoridYin, G=8725807500en_HK

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