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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 ISSN 1545-5963.
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Official URL: http://dx.doi.org/10.1109/TCBB.2005.49
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 | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > 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: |
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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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