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图挖掘在DNA混合样本拆分中的应用
引用本文:康艳荣,李万水,张国臣,周冬林,楚川红.图挖掘在DNA混合样本拆分中的应用[J].江南大学学报(自然科学版),2010,9(2):210-212.
作者姓名:康艳荣  李万水  张国臣  周冬林  楚川红
作者单位:公安部,物证鉴定中心,北京,100038
摘    要:以图论为基础提出了基于图结构的DNA混合样本拆分算法——MDG算法,对混合STR图谱中每个基因座构造不同的等位基因图,形成等位基因图集,把DNA混合样本的拆分转化为在图集中的挖掘问题。MDG算法的提出进一步扩大了图论的应用范围,也为混合样本拆分提供了新的解决思路。

关 键 词:  混合样本  峰面积  

Application of Graph Mining in Interpreting DNA Mixtures
KANG Yan-rong,LI Wan-shui,ZHANG Guo-chen,ZHOU Dong-lin,CHU Chuan-hong.Application of Graph Mining in Interpreting DNA Mixtures[J].Journal of Southern Yangtze University:Natural Science Edition,2010,9(2):210-212.
Authors:KANG Yan-rong  LI Wan-shui  ZHANG Guo-chen  ZHOU Dong-lin  CHU Chuan-hong
Institution:Institute of Forensic Science;Ministry of Public Security P.R.C;Beijing 100038;China
Abstract:A lot of instances can be described in graph in real world based on graph theory.The paper proposes an algorithm of separating DNA mixtures-MDG(Mixtures Component Deconvolution using Graph theory),by which each loci can be construted as some allele graphs.These graphs compose a graph set and convert the problem of separating DNA mixtures into graph mining.The algorithm extends the application of graph theory and proposes a new approach of separating mixtures.
Keywords:graph  mixtures  peak area  
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