Abstract:Abstract. The application of statistical machine learning methods to study the association between large scale single nucleotide polymorphism (SNP) and complex diseases is facing the "Curse of dimensionality". The first task is to reduce the large scale SNP to smaller sets. For this reason, a multiple genetic algorithm is proposed for feature selection of single nucleotide polymorphism. For the first time, a new method is proposed to measure the degree of association between SNP and disease by mutual informati… Show more
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