Coupled two-way clustering analysis of breast cancer and colon cancer gene expression data
Coupled two-way clustering analysis of breast cancer and colon cancer gene expression data
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DOI：
10.1093/bioinformatics/btf876
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发表时间：
2003-06-12
期刊：
影响因子：
5.8
通讯作者：
Domany, E
中科院分区：
文献类型：
--
作者：
Getz, G;Gal, H;Domany, E
我们提出并回顾了耦合双向聚类，这是一种旨在挖掘基因表达数据的方法。该方法识别总表达矩阵的子矩阵，其聚类分析揭示了样本（和基因）到生物学相关类别的划分。我们证明，根据结肠癌和乳腺癌的数据，我们能够识别逃避标准聚类分析的分区。
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.