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dc.contributor.authorZhao, Hongyaen_US
dc.contributor.authorW. C. Liew, Alanen_US
dc.contributor.authorYan, Hongen_US
dc.contributor.editorDavid Sankoff, Lusheng Wang, and Francis Chinen_US
dc.date.accessioned2017-04-24T12:52:41Z
dc.date.available2017-04-24T12:52:41Z
dc.date.issued2007en_US
dc.date.modified2009-10-20T22:12:03Z
dc.identifier.doi10.1142/9781860947995_0008en_AU
dc.identifier.urihttp://hdl.handle.net/10072/22141
dc.identifier.uriwww.cs.hku.edu.hk/apbc2007/en_AU
dc.description.abstractIn this paper, we present a new biclustering algorithm to provide the geometrical interpretation of similar microarray gene expression profiles. Different from standard clustering analyses, biclustering methodology can perform simultaneous classification on the row and column dimensions of a data matrix. The main object of the strategy is to reveal the submatrix, in which a subset of genes exhibits a consistent pattern over a subset of conditions. However, the search for such subsets is a computationally complex task. We propose a new algorithm, based on the Hough transform in the column-pair space to perform pattern identification. The algorithm is especially suitable for the biclustering analysis of large-scale microarray data. Our simulation studies show that the method is robust to noise and computationally efficient. Furthermore, we have applied it to a large database of gene expression profiles of multiple human organs and the resulting biclusters show clear biological meanings.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent158340 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherImperial College Pressen_US
dc.publisher.placeUKen_US
dc.publisher.urihttp://eproceedings.worldscinet.comen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameAPBC2007 The Fifth Asia Pacific Bioinformatics Conferenceen_US
dc.relation.ispartofconferencetitleProceedings of the Fifth Asia Pacific Bioinformatics Conferenceen_US
dc.relation.ispartofdatefrom2007-01-15en_US
dc.relation.ispartofdateto2007-01-17en_US
dc.relation.ispartoflocationHong Kongen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.subject.fieldofresearchcode270201en_US
dc.titleA New Strategy of Geometrical Biclustering for Microarray Data Analysisen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2007 World Scientific. The attached file is posted here in accordance with the copyright policy of the publisher, for your personal use only. No further distribution permitted. For information about this conference please refer to the conference's website or contact the authors.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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