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Biclustering models for structured microarray data

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Turner, Heather, Bailey, T.C., Krzanowski, W.J. and Hemingway, C.A. (2005) Biclustering models for structured microarray data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2 (4). pp. 316-329. doi:10.1109/TCBB.2005.49

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Official URL: http://dx.doi.org/10.1109/TCBB.2005.49

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Abstract

Microarrays have become a standard tool for investigating gene function and more complex microarray experiments are increasingly being conducted. For example, an experiment may involve samples from several groups or may investigate changes in gene expression over time for several subjects, leading to large three-way data sets. In response to this increase in data complexity, we propose some extensions to the plaid model, a biclustering method developed for the analysis of gene expression data. This model-based method lends itself to the incorporation of any additional structure such as external grouping or repeated measures. We describe how the extended models may be fitted and illustrate their use on real data.

Item Type: Journal Article
Divisions: Faculty of Science > Statistics
Journal or Publication Title: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Publisher: IEEE
ISSN: 1545-5963
Official Date: 21 November 2005
Dates:
DateEvent
21 November 2005Published
Volume: 2
Number: 4
Page Range: pp. 316-329
DOI: 10.1109/TCBB.2005.49
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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