Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data

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We present and review Coupled Two Way Clustering, a method designed to mine gene expression data. The method identifies submatrices of the total expression matrix, whose clustering analysis reveals partitions of samples (and genes) into biologically relevant classes. We demonstrate, on data from colon and breast cancer, that we are able to identify partitions that elude standard clustering analysis.
9 pages, 4 figures

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Biological Physics, Genomics

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http://salesiana.dossiersoluciones.com/handle/123456789/84761

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/physics/0206060
 http://arxiv.org/abs/physics/0206060
 Bioinformatics 19, 1079 (2003).

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arXiv