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Clustering is routinely used in gene expression data analysis to mine groups of co-expressed genes. Commonly used clustering algorithms require the user to specify the number of clusters a priori. We have developed a method that identifies, from a set of candidate partitions, the one with the maximal number of distinct clusters. Principal component analysis is used to characterize each cluster by...
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