Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Selection of the principal genotype with genetic algorithm

유전자 알고리즘에 의한 우수 유전자형 선별

  • Published : 2009.07.31
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Abstract

From development of computer science, genetic algorithm has been applied to many fields for search like non-linear problem based on various variables and optimization process. Among others, in the data mining field, there are methods to select the best input variables for model accuracy and various predict models which were merged by using the genetic algorithm. In the meantime, to improve and preserve quality of the Hanwoo (Korean cattle) which is represented the agricultural industry in our country, we need to find out outstanding economical traits of Hanwoo in having specific genotype of single nucleotide polymorphism (SNP) which is inherited to next generation. According to, This research proposed the selecting method to find genotype of SNPs marker which affects economical traits of the Hanwoo by using the genetic algorithm. And we selected the best genotypes of the principal SNPs marker by applying to real data on Hanwoo genetic.

컴퓨터공학의 발전으로 인해, 여러 개의 변수가 존재하는 비선형 문제와 같은 최적해 탐색과 최적화에 사용되는 유전자 알고리즘은 많은 분야에서 활발하게 응용되고 있다. 그 중, 데이터마이닝분야에서 유전자 알고리즘을 이용하여 정확도를 최대로 하는 입력변수 선택방법과 여러 예측모형을 통합하는 방법 등이 제시되었다. 한편, 우리나라 축산업을 대표하는 한우의 유전자원 보존과 능력향상을 위해서는 다음세대에 유전이 되는 단일염기다형성에서 특정 유전자형을 가진 한우가 경제형질이 우수한지를 찾아낼 필요가 있다. 이에 따라, 유전자 알고리즘을 이용하여 한우의 경제형질에 가장 많은 영향을 주는 단일염기다형성 조합마커의 유전자형을 선택하는 방법을 제시하였다. 그리고 실제 한우 유전 데이터에 적용하여 주요 단일염기다형성 조합마커에서 우수 유전자형들을 선별하였다.

Keywords

References

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