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dc.contributor.authorCarrivick, Len_US
dc.contributor.authorRogers, Sen_US
dc.contributor.authorClark, Jen_US
dc.contributor.authorCampbell, Cen_US
dc.contributor.authorGirolami, Men_US
dc.contributor.authorCooper, Cen_US
dc.date.accessioned2018-09-03T15:17:01Z
dc.date.issued2006-06-22en_US
dc.identifier8en_US
dc.identifier.citationJOURNAL OF THE ROYAL SOCIETY INTERFACE, 2006, 3 pp. 367 - 381en_US
dc.identifier.issn1742-5689en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2523
dc.identifier.doi10.1098/rsif.2005.0093en_US
dc.description.abstractWe apply a new Bayesian data analysis technique (latent process decomposition) to four recent microarray datasets for breast cancer. Compared to hierarchical cluster analysis, for example, this technique has advantages such as objective assessment of the optimal number of sample or gene clusters in the data, penalization of overcomplex models fitting to noise in the data and a common latent space of explanatory variables for samples and genes. Our analysis provides a clearer insight into these datasets, enabling assignment of patients to one of four principal processes, each with a distinct clinical outcome. One process is indolent and associated with under-expression across a number of genes associated with tumour growth. One process is associated with over expression of GRB7 and ERBB2. The most aggressive process is associated with abnormal expression of transcription factor genes, including members of the FOX family of transcription factor genes.en_US
dc.format.extent367 - 381en_US
dc.titleIdentification of prognostic signatures in breast cancer microarray data using Bayesian techniquesen_US
dc.typeJournal Article
rioxxterms.versionofrecord10.1098/rsif.2005.0093en_US
rioxxterms.licenseref.startdate2006-06-22en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfJOURNAL OF THE ROYAL SOCIETY INTERFACEen_US
pubs.notesorcid-numbers: Rogers, Simon/0000-0003-3578-4477 unique-id: ISI:000244164900002en_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams/Cell Transformation
pubs.volume3en_US
pubs.embargo.termsNot knownen_US
icr.researchteamCell Transformationen_US
dc.contributor.icrauthorCooper, Colinen_US


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