多维上位性模型中的均衡相关
Equilibrium correlations in a model for multidimensional epistasis
摘要：
我们研究了多维上位性的统计模型。基因型被分为多个子序列，在每个子序列中，按规定顺序发生的突变是有益的。用于表示基因型的位串模型可以以具有交错场的铁磁伊辛模型的形式铸造。我们得到的实际相关性突变在不同的网站，在一个平衡的人口在一个给定的“公差”，我们定义为温度的统计合奏。
英文摘要：
We investigate a statistical model for multidimensional epistasis. The genotype is devided into subsequences, and within each subsequence mutations which occur in a prescribed order are beneficial. The bit-string model used to represent the genotype, may be cast in the form of a ferromagnetic Ising model with a staggered field. We obtain the actual correlations between mutations at different sites, within an equilibrium population at a given "tolerance," which we define to be the temperature of the statistical ensemble.
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