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The genome-wide disease association is a major interest of current genomics research. However, these works are limited by the high cost of genotyping large number of single nucleotide polymorphisms (SNPs). Therefore, it is essential to choose a small subset of informative SNPs (tagSNPs) to represent the rest of the SNPs. To find the minimum set of tagSNPs, we propose a new method that combines the...
Clustering is one of main technical of data mining, by a kind of non-teacher supervises recognition pattern. Despite its popularity for general clustering, K-means suffers two major shortcomings: the number of clusters K has to be supplied by the user and the search is prone to local minima. This article unifies particle swarm optimization (PSO) algorithm and Bayesian information criterion (BIC),...
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