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

2002/06/17 by Gad Getz, Hilah Gal, Itai Kela +2
Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · #physics.bio-ph #q-bio.GN

paper · pdf

published as Bioinformatics 19, 1079 (2003). · 9 pages, 4 figures

arxiv created 2002/06/17 · arxiv updated 2009/12/01

Abstract

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.

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