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Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Ivan G. Costa Filho, Pablo A. Jaskowiak, Ricardo J. G. B. Campello
Issue Date:July 2013
pp. 845-857
Cluster analysis is usually the first step adopted to unveil information from gene expression microarray data. Besides selecting a clustering algorithm, choosing an appropriate proximity measure (similarity or distance) is of great importance to achieve sa...