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Proceedings of the 3rd Asia-Pacific Bioinformatics Conference
Microarray technology allows large-scale parallel measurements of the expression of many thousands genes and thus aiding in the development of efficient cancer diagnosis and classification platforms. In this paper, we apply the genetic algorithm and the silhouette statistic in conjunction with several distance functions to the problem of multi-class prediction. We examine two widely used sets of gene expression data, measured across sets of tumors, and present the results of classificationdoi:10.1142/9781860947322_0023 fatcat:ij4kdakonjbjfepwqhpulhlsz4