摘要
基于粗糙集理论评估SNP位点组合的分类能力,采用遗传算法进行优化搜索,提出了一种SNP位点的自动选择方法。实验结果表明,该方法具有很好的稳健性和较快的收敛速度,能够准确地寻找微生物的SNP位点组合,为大规模的检测芯片探针自动设计提供了快速可靠的途径。
A new automatic selection approach of microorganism specific fragment combination is presented in this paper. Genetic algorithm is used to search optimal solution on the basis of classifition ability of SNP combination, which is evaluated by the rough set theory. Other related experimental parameters are also been incorporated. Experimental results show that the method can find the best SNP combination pattern efficiently and accurately, which implies that it is a reliable approach to the genechip probe design.
出处
《中国医疗器械杂志》
CAS
2008年第2期89-92,共4页
Chinese Journal of Medical Instrumentation
基金
"十五"国家科技攻关计划项目"重大人兽共患病诊断平台"(2004BA519A46)资助。
