Reference: Zhang L and Zhu S (2002) A new clustering method for microarray data analysis. Proc IEEE Comput Soc Bioinform Conf 1:268-75

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Abstract


A novel clustering approach is introduced to overcome data missing and inconsistency of gene expression levels under different conditions in the stage of clustering. It is based on the so-called smooth score, which is defined for measuring the deviation of the expression level of a gene and the average expression level of all the genes involved under a condition. We present an efficient greedy algorithm for finding clusters with smooth score below a threshold after studying its computational complexity. The algorithm was tested intensively on random matrixes and a yeast data. It was shown to perform well in finding co-regulation patterns in a test with the yeast data.

Reference Type
Evaluation Study | Journal Article | Research Support, Non-U.S. Gov't
Authors
Zhang L, Zhu S
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Gene Species Gene ID Strain background Direction Details Source Reference