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arXiv 1905.04040math.PRq-bio.PE
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离散Moran过程何时可以用Wright-Fisher扩散代替?

When Can The Discrete Moran Process May Bereplaced By Wright-fisher Diffusion?

Gorgui Gackou, A Guillin, Arnaud Personne

摘要:

Moran离散过程和Wright-Fisher模型是群体遗传学中最常用的模型。这是常见的理解这些模型的动态使用近似的扩散过程,称为赖特-费舍尔扩散。本文给出了在一维弱选择和弱迁移存在下,利用近似扩散所犯错误的一个定量的大种群极限。该方法是强大的,足以考虑的情况下,选择和移民是马尔可夫过程,与limitsjump或扩散过程。

英文摘要:

The Moran discrete process and the Wright-Fisher modelare the most popular models in population genetics. It is common tounderstand the dynamics of these models to use an approximating diffusionprocess, called Wright-Fisher diffusion. Here, we give a quantitativelarge population limit of the error committed by using the approximationdiffusion in the presence of weak selection and weak immigrationin one dimension. The approach is robust enough to consider the casewhere selection and immigration are Markovian processes, with limitsjump or diffusion processes.

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。

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