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Using DNA microarray technology, biologists get a large number of gene expression time series data. Clustering is a significant approach to extracting biological information from these data. This paper proposes a novel clustering method, HMM-based hierarchical clustering (HMM-HC), to analyze gene expression time series data. We convert time-point data to discrete symbols on the base of the fact that...
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