【作者】 练凯迪； 陆向艳； 刘亚桥； 刘峻；

【Author】 Lian kaidi;Lu xiangyan;Liu yaqiao;Liu jun;School of Computer and Electronic Information, Guangxi University;Information Science Experiment Center of Guangxi, Guilin University of Electronic Technology;

【机构】 广西大学计算机与电子信息学院； 桂林电子科技大学广西信息科学实验中心；

【摘要】 人体的许多表型性状差异及对药物和疾病的易感性等都可能与某些基因位点相关联,或和包含有多个位点的基因相关联。全基因组关联性分析(GWAS)是目前遗传疾病基因致病位点分析的热点。本文应用数据挖掘中Apriori算法,提出一种基于Apriori算法的遗传疾病基因致病位点分析方法。实验结果表明,该算法能有效的发现遗传疾病基因致病位点。更多还原

【Abstract】 Many phenotypic traits of the human body and their susceptibility to drugs and diseases may be associated with some genetic loci or associated with genes that contain multiple loci. Whole genome association analysis(GWAS) is a hot spot in the analysis of genetic disease loci. In this paper, a Apriori algorithm based on Apriori algorithm is proposed for the analysis of genetic disease loci in genetic diseases. The experimental results show that the algorithm can effectively find the genetic disease gene loci.更多还原