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dc.contributor.authorGan, Xiangchaoen_US
dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.contributor.authorYan, Hongen_US
dc.contributor.editorYY Tan, SP Wang, G Lorette, DS Yeung, H Yanen_US
dc.date.accessioned2017-04-24T12:52:38Z
dc.date.available2017-04-24T12:52:38Z
dc.date.issued2006en_US
dc.date.modified2010-10-27T08:28:58Z
dc.identifier.doi10.1109/ICPR.2006.433en_AU
dc.identifier.urihttp://hdl.handle.net/10072/24405
dc.identifier.urihttp://www.comp.hkbu.edu.hk/~icpr06/en_AU
dc.description.abstractIn microarray experiments, gene expression profiles are often affected by biological properties, such as synchronization loss, and show some non-stationarity. Worse still, the microarray data usually suffers from missing values. The conventional spectrum-based methods, when used to identify a subset of genes that are periodically expressed, are degraded by these factors. In this paper, we use the Wigner-Ville distribution analysis and L-curve method for detection of periodically expressed genes. We provide a graphical exploratory device for assessment of the presence of periodically expressed genes. Then, we identify the subset of genes actually involved in the cell cycle using the L-curve method. The experiments on several widely used datasets show that our algorithm can effectively reduce the effect of non-stationarity and missing values problems.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent151865 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeUSAen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename18th International Conference on Pattern Recognitionen_US
dc.relation.ispartofconferencetitleThe 18th International Conference on Pattern Recognitionen_US
dc.relation.ispartofdatefrom2006-08-20en_US
dc.relation.ispartofdateto2006-08-24en_US
dc.relation.ispartoflocationHong Kongen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode270201en_US
dc.subject.fieldofresearchcode280204en_US
dc.titleDetecting Periodically Expressed Genes based on Time-frequency Analysis and L-curve Methoden_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2006 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.issued2006
gro.hasfulltextFull Text


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