期刊
BIOINFORMATICS
卷 19, 期 9, 页码 1079-1089出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btf876
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资金
- NCI NIH HHS [5 P01 CA 65930-06] Funding Source: Medline
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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