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Consensus clustering and functional interpretation of gene-expression data

Swift, S; Tucker, A; Vinciotti, V; Martin, N; Orengo, C; Liu, XH; Kellam, P; (2004) Consensus clustering and functional interpretation of gene-expression data. GENOME BIOLOGY , 5 , Article R94. 10.1186/gb-2004-5-11-r94. Green open access

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Abstract

Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus set of clusters from a number of clustering methods should improve confidence in gene-expression analysis. Here we introduce consensus clustering, which provides such an advantage. When coupled with a statistically based gene functional analysis, our method allowed the identification of novel genes regulated by NFκB and the unfolded protein response in certain B-cell lymphomas.

Type: Article
Title: Consensus clustering and functional interpretation of gene-expression data
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/gb-2004-5-11-r94
Publisher version: http://dx.doi.org/10.1186/gb-2004-5-11-r94
Language: English
Additional information: © 2004 Swift et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. PubMed ID: 15535870
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/36540
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