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dc.contributor.authorJones, Liat Ben-Tovim
dc.contributor.authorNg, Shu-Kay
dc.contributor.authorAmbroise, Christophe
dc.contributor.authorMonico, Katrina
dc.contributor.authorKhan, Nazim
dc.contributor.authorMcLachlan, Geoff
dc.contributor.editorJ.S. Shoemaker, S.M. Lin
dc.date.accessioned2017-05-03T15:26:13Z
dc.date.available2017-05-03T15:26:13Z
dc.date.issued2005
dc.date.modified2010-08-05T07:17:13Z
dc.identifier.isbn0387230742
dc.identifier.urihttp://hdl.handle.net/10072/32746
dc.description.abstractWe apply a model-based clustering approach to classify tumor tissues on the basis of microarray gene expression. The impact of this classification on cancer biology and clinical outcome is studied. In particular, the association between the clusters so formed and patient survival (recurrence) times was examined. The approach is illustrated using the four CAMDA'03 lung cancer datasets. We show that the gene expression-based clustering is a powerful predictor of the outcome of disease, in addition to current systems based on histopathology criteria and extent of disease at presentation.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeNew York
dc.publisher.urihttp://books.google.com/
dc.relation.ispartofbooktitleMethods of Microarray Data Analysis
dc.relation.ispartofchapter12
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom163
dc.relation.ispartofpageto173
dc.relation.ispartofvolume4
dc.rights.retentionY
dc.subject.fieldofresearchcode230204
dc.titleUse of microarray data via model-based classification in the study and prediction of survival from lung cancer
dc.typeBook chapter
dc.type.descriptionB1 - Chapters
dc.type.codeB - Book Chapters
gro.date.issued2005
gro.hasfulltextNo Full Text
gro.griffith.authorNg, Shu Kay Angus


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