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.
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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 |
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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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