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Gene expression data clustering provides a powerful tool for studying functional relationships of genes in a biological process. Identifying correlated expression patterns of genes represents the basic challenge in this clustering problem.

Clustering gene expression data using a graph-theoretic approach: an application of minimum spanning trees