耦合间歇图模型的基因组序列统计分析：网络方法
Coupled Intermittent Maps Modelling the Statistics of Genomic Sequences: A Network Approach
摘要：
耦合间歇映射的动力学被用来模拟基因组序列的相关结构。与其他简单的混沌映射相反，间歇映射的使用特别适合于产生在高等真核生物的基因组序列中观察到的长程相关特征。一个加权的网络方法，符号序列的介绍，它表明，耦合间歇多项式映射产生的程度和链接大小分布与幂律指数类似的真实基因组中观察到的。所提出的符号序列的网络方法是通用的，可以应用于任何符号序列（人工或自然）。
英文摘要：
The dynamics of coupled intermittent maps is used to model the correlated structure of genomic sequences. The use of intermittent maps, as opposed to other simple chaotic maps, is particularly suited for the production of long range correlation features which are observed in the genomic sequences of higher eucaryotes. A weighted network approach to symbolic sequences is introduced and it is shown that coupled intermittent polynomial maps produce degree and link size distributions with power law exponents similar to the ones observed in real genomes. The proposed network approach to symbolic sequences is generic and can be applied to any symbol sequence (artificial or natural).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
