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dc.contributor.authorTang, Tsz-Yanen_US
dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.contributor.authorYan, Hongen_US
dc.contributor.editorS. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng, Jeong-A Leeen_US
dc.date.accessioned2017-05-03T15:20:05Z
dc.date.available2017-05-03T15:20:05Z
dc.date.issued2010en_US
dc.date.modified2011-09-07T06:12:15Z
dc.identifier.refurihttp://www.iaeng.org/IMECS2010/index.htmlen_AU
dc.identifier.urihttp://hdl.handle.net/10072/37700
dc.description.abstractEach DNA microarray experiment generates a large amount of gene expression profiles and it remains a challenge for biologists to robustly identify periodic gene expression profiles with certain noise level in the data. In this paper, we propose a new scheme with noise filtering technique to analyze the periodicity of gene expression base on singular value decomposition (SVD), singular spectrum analysis (SSA) and autoregressive (AR) model-based spectrum estimation. With the combination of these methods, noise can be filtered out and over 85% of periodic gene expression can be identified in mouse presomitic mesoderm transcriptome data set.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent758586 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherInternational Association of Engineersen_US
dc.publisher.placeHong Kongen_US
dc.publisher.urihttp://www.iaeng.org/IMECS2010/en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameInternational MultiConference of Engineers and Computer Scientists 2010en_US
dc.relation.ispartofconferencetitleInternational MultiConference of Engineers and Computer Scientists 2010en_US
dc.relation.ispartofdatefrom2010-03-17en_US
dc.relation.ispartofdateto2010-03-19en_US
dc.relation.ispartoflocationHong Kongen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classifieden_US
dc.subject.fieldofresearchcode089999en_US
dc.titleAnalysis of Mouse Periodic Gene Expression Data Based on Singular Value Decomposition and Autoregressive Modelingen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2010 International Association of Engineers (IAENG). The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.en_AU
gro.date.issued2010
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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