遺伝情報からのハプロタイプ推定における遺伝的アルゴリズムの応用

概要

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The study of a disease using genetic identification becomes possibl by using haplotyp information. The expectation-maximization algorithm is the approach to maximize the likelihood function of genotypic distribution assuming Hardy-Weinberg equilibrium. However, this method is time consuming when applied to sequence of many loci. We used a real valued genetic algorithm in this study and compared the precision of the results with other methods.
2009-09-30