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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...
Multiple-instance learning is a special machine learning algorithm between supervised learning and unsupervised learning, which has been used in medicine design, image retrieval and other research fields, and attained good performance. Diverse Density (DD) algorithm is a typical multiple- instance learning method. Due to the character of sparse positive instances, when classifying the bags which include...
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