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dc.contributor.authorZhao, Hongya
dc.contributor.authorLiew, Alan WC
dc.contributor.authorYan, Hong
dc.contributor.editorSankoff, D
dc.contributor.editorWang, L
dc.contributor.editorChin, F
dc.date.accessioned2017-05-03T15:20:36Z
dc.date.available2017-05-03T15:20:36Z
dc.date.issued2007
dc.date.modified2009-10-20T22:12:03Z
dc.identifier.isbn978-1-86094-783-4
dc.identifier.issn1751-6404
dc.identifier.doi10.1142/9781860947995_0008
dc.identifier.urihttp://hdl.handle.net/10072/22141
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent158340 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherImperial College Press
dc.publisher.placeUK
dc.publisher.urihttp://eproceedings.worldscinet.com
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename5th Asia-Pacific Bioinformatics Conference (APBC2007)
dc.relation.ispartofconferencetitlePROCEEDINGS OF THE 5TH ASIA- PACIFIC BIOINFOMATICS CONFERENCE 2007
dc.relation.ispartofdatefrom2007-01-15
dc.relation.ispartofdateto2007-01-17
dc.relation.ispartoflocationHong Kong, PEOPLES R CHINA
dc.relation.ispartofpagefrom47
dc.relation.ispartofpageto+
dc.relation.ispartofvolume5
dc.rights.retentionY
dc.subject.fieldofresearchcode280207
dc.subject.fieldofresearchcode270201
dc.titleA New Strategy of Geometrical Biclustering for Microarray Data Analysis
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 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.
gro.date.issued2007
gro.hasfulltextFull Text
gro.griffith.authorLiew, Alan Wee-Chung


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