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dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.contributor.authorYan, Hongen_US
dc.contributor.editorPatrick Shen-Pei Wangen_US
dc.date.accessioned2017-04-24T12:52:06Z
dc.date.available2017-04-24T12:52:06Z
dc.date.issued2010en_US
dc.date.modified2011-03-14T07:03:01Z
dc.identifier.isbn9788792329363en_US
dc.identifier.urihttp://hdl.handle.net/10072/37192
dc.description.abstractThe advancement in DNA microarray technology has generated an unprecedented amount of gene expression data. The challenge now is to analyze and extract useful information from the data. In this chapter, we discuss how gene expression study is performed and how to analyze these data based on pattern recognition methods. The problems we address include microarray image segmentation, missing value imputation, gene expression data clustering and biclustering and spectral analysis of time series data.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherRiver Publishersen_US
dc.publisher.placeDenmarken_US
dc.publisher.urihttp://riverpublishers.com/river_publisher/en_AU
dc.relation.ispartofbooktitlePattern Recognition and Machine Vision - In Honor and Memory of Professor King-Sun Fuen_US
dc.relation.ispartofchapter4en_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom56en_US
dc.relation.ispartofpageto69en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchcode080109en_US
dc.titleAnalysis of DNA Microarray Gene Expression Data Based on Pattern Recognition Methodsen_US
dc.typeBook chapteren_US
dc.type.descriptionB1 - Book Chapters (HERDC)en_US
dc.type.codeB - Book Chaptersen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2010
gro.hasfulltextNo Full Text


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