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所属单位：山东大学数学学院

发表刊物：Nucleic Acids Research

摘要：Biclustering extends the traditional clustering techniques by attempting to find (all) subgroups of genes with similar expression patterns under to-be-identified subsets of experimental conditions when applied to gene expression data. Still the real power of this clustering strategy is yet to be fully realized due to the lack of effective and efficient algorithms for reliably solving the general biclustering problem. We report a QUalitative BIClustering algorithm (QUBIC) that can solve the biclustering problem in a more general form, compared to existing algorithms, through employing a ...

全部作者：Paterson, A. C.,Tang, H.

第一作者：Ma†, Q.,Li†, G.

论文类型：期刊论文

通讯作者：Xu, Y.

学科门类：理学

一级学科：数学

文献类型：J

卷号：37

期号：15

是否译文：否

发表时间：2009-01-01

收录刊物：SCI