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Microarray technologies are employed to simultaneously measure expression levels of thousands of genes. Data obtained from such experiments allow inference of individual gene functions, help to identify genes from specific tissues, to analyze the behavior of gene expression levels under various environmental conditions and under different cell cycle stages,(More)
With the recent advent of the DNA microarray technology [1], methods for organising and analysing gene expression data are rapidly emerging. Several references can be found in the literature in the two basic approaches for dealing with the problem of organising gene expression data: clustering procedures and ordering methods. Clustering procedures define(More)
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