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dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.contributor.authorYan, Hongen_US
dc.contributor.editorWA Gruver, LO Hall, D Yeung, M Smithen_US
dc.date.accessioned2017-04-24T12:52:04Z
dc.date.available2017-04-24T12:52:04Z
dc.date.issued2009en_US
dc.date.modified2010-06-03T09:26:24Z
dc.identifier.refurihttp://www.smc2009.orgen_AU
dc.identifier.doi10.1109/ICSMC.2009.5346812en_AU
dc.identifier.urihttp://hdl.handle.net/10072/30013
dc.description.abstractMany cellular processes exhibit cyclic behaviors. Hence, one important task in gene expression data analysis is to detect subset of genes that exhibit periodicity in their gene expression time series profiles. Unfortunately, gene expression time series profiles are usually of very short length, with very few periods, unevenly sampled, and are highly contaminated with noise. This makes detection of periodic profiles a very challenging problem. In this paper, we present several effective computational techniques developed recently in our research group for the reliable detection of short periodic gene expression time series profiles.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent303770 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameSMC 2009 IEEE International Conference on Systems, Man, and Cyberneticsen_US
dc.relation.ispartofconferencetitleProceedings 2009 IEEE International Conference on Systems, Man, and Cyberneticsen_US
dc.relation.ispartofdatefrom2009-10-11en_US
dc.relation.ispartofdateto2009-10-14en_US
dc.relation.ispartoflocationSan Antonio, Texas, USAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchGene Expression (incl. Microarray and other genome-wide approaches)en_US
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchcode060405en_US
dc.subject.fieldofresearchcode080109en_US
dc.titleReliable Detection of Short Periodic Gene Expression Time Series Profiles in DNA Microarray Dataen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2009
gro.hasfulltextFull Text


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