乳腺癌和结肠癌基因表达数据的耦合双向聚类分析

Coupled two-way clustering analysis of breast cancer and colon cancer gene expression data.

作者信息

Getz Gad, Gal Hilah, Kela Itai, Notterman Daniel A, Domany Eytan

机构信息

Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel.

出版信息

Bioinformatics. 2003 Jun 12;19(9):1079-89. doi: 10.1093/bioinformatics/btf876.

DOI:10.1093/bioinformatics/btf876

PMID:12801868

Abstract

UNLABELLED

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.