BIROn - Birkbeck Institutional Research Online

    Consensus clustering and functional interpretation of gene-expression data

    Swift, S. and Tucker, A. and Vinciotti, V. and Martin, Nigel and Orengo, C.A. and Liu, X. and Kellam, P. (2004) Consensus clustering and functional interpretation of gene-expression data. Genome Biology 5 (11), ISSN 1465-6906.

    [img]
    Preview
    Text (Publisher draft (refereed))
    2991.pdf
    Available under License Creative Commons Attribution.

    Download (1MB) | Preview

    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.

    Metadata

    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Structural Molecular Biology, Institute of (ISMB), Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 27 Jan 2011 16:17
    Last Modified: 09 Aug 2023 12:30
    URI: https://eprints.bbk.ac.uk/id/eprint/2991

    Statistics

    Activity Overview
    6 month trend
    438Downloads
    6 month trend
    265Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item