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最大节约原则下单体型推导问题的复杂性(英文)

On the complexity of haplotyping by maximum parsimony
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摘要 基于最大节约原则,寻找可以解释基因型样本的最小单体型集合,提出一个新的单体型推导方法.通过将SAT问题和MAX-3-SAT问题归约到这种基于节约原则的单体型推导问题,证明了该问题是NP-hard以及MAX-SNP完全的,从而解决了该问题在计算上的复杂性.这一结果显示,除非P等于NP,否则,该问题不存在多项式时间算法;甚至存在一个常数e>0,该问题不存在比1+e好的近似算法. A new parsimony method for haplotyping that tries to find a minimum set of haplotypes to explain the genotype sample was studied. By reducing the SAT problem and the MAX-3-SAT problem to the method, it was proved to be NP-hard and MAX-SNP complete, which means that it has no polynomial algorithm and cannot be approximated within ratio 1 +e for some constant e(e〉0) if P ≠NP.
机构地区 国家高性能中心
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2006年第2期213-218,共6页 JUSTC
基金 SupportedbyChinese"973"Program(G1998030401)
关键词 单体型 单体型推导问题 复杂性 NP难 MAX-SNP完全 haplotype haplotyping/haplotype inference complexity NP-hard MAX-SNP complete
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参考文献13

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