Suppr超能文献

额外的分析支持一种新的计算多样化模型可能性的方法。

Additional Analytical Support for a New Method to Compute the Likelihood of Diversification Models.

机构信息

Groningen Institute for Evolutionary Life Sciences, Box 11103, 9700 CC, Groningen, The Netherlands.

Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier University, Moulis, France.

出版信息

Bull Math Biol. 2020 Jan 22;82(2):22. doi: 10.1007/s11538-020-00698-y.

Abstract

Molecular phylogenies have been increasingly recognized as an important source of information on species diversification. For many models of macroevolution, analytical likelihood formulas have been derived to infer macroevolutionary parameters from phylogenies. A few years ago, a general framework to numerically compute such likelihood formulas was proposed, which accommodates models that allow speciation and/or extinction rates to depend on diversity. This framework calculates the likelihood as the probability of the diversification process being consistent with the phylogeny from the root to the tips. However, while some readers found the framework presented in Etienne et al. (Proc R Soc Lond B Biol Sci 279(1732):1300-1309, 2012) convincing, others still questioned it (personal communication), despite numerical evidence that for special cases the framework yields the same (i.e., within double precision) numerical value for the likelihood as analytical formulas do that were independently derived for these special cases. Here we prove analytically that the likelihoods calculated in the new framework are correct for all special cases with known analytical likelihood formula. Our results thus add substantial mathematical support for the overall coherence of the general framework.

摘要

分子系统发育学已被越来越多地认为是物种多样化信息的重要来源。对于许多宏观进化模型,已经推导出了分析似然公式,以便从系统发育推断宏观进化参数。几年前,提出了一个通用框架来数值计算这些似然公式,该框架可适应允许物种形成和/或灭绝速率取决于多样性的模型。该框架将似然计算为从根到叶的多样化过程与系统发育一致的概率。然而,尽管一些读者认为 Etienne 等人(Proc R Soc Lond B Biol Sci 279(1732):1300-1309, 2012)提出的框架令人信服,但其他人仍然对此表示质疑(个人交流),尽管有数值证据表明,对于特殊情况,该框架产生的似然值与针对这些特殊情况独立推导的分析公式相同(即在双精度范围内)。在这里,我们证明了在新框架中计算的似然值对于所有具有已知分析似然公式的特殊情况都是正确的。因此,我们的结果为通用框架的整体一致性提供了实质性的数学支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682f/6976549/dd5c50d21cbf/11538_2020_698_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验