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
摘要：
我们提出并审查耦合双向聚类，一种旨在挖掘基因表达数据的方法。该方法确定子矩阵的总表达矩阵，其聚类分析揭示了分区的样品（和基因）到生物相关的类。我们证明，从结肠癌和乳腺癌的数据，我们能够识别分区，逃避标准聚类分析。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
