Coupled two-way clustering analysis of breast cancer and colon cancer gene expression data.
other · Level V
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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. Free, at http://ctwc.weizmann.ac.il.. http://www.weizmann.ac.il/physics/complex/compphys/bioinfo2/
Medical subject headings
- Algorithms
- Breast Neoplasms
- Cluster Analysis
- Colonic Neoplasms
- Databases, Genetic
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Oligonucleotide Array Sequence Analysis