Jones Graham
21e Balnakeil, Durness, Lairg, Sutherland, IV27 4PT, UK.
J Math Biol. 2011 Jul;63(1):33-56. doi: 10.1007/s00285-010-0362-8. Epub 2010 Aug 27.
This article provides a method for calculating the joint probability density for the topology and the node times of a tree which has been produced by an multi-type age-dependent binary branching process and then sampled at a given time. These processes are a generalization, in two ways, of the constant rate birth-death process. There are a finite number of types of particle instead of a single type: each particle behaves in the same way as all others of the same type, but different types can behave differently. Secondly, the lifetime of a particle (before it either dies, changes to another type, or splits into 2) follows an arbitrary distribution, instead of the exponential lifetime in the constant rate case. Two applications concern models for macroevolution: the particles represent species, and the extant species are randomly sampled. In one application, 1-type and 2-type models for macroevolution are compared. The other is aimed at Bayesian phylogenetic analysis where the models considered here can provide a more realistic and more robust prior distribution over trees than is usually used. A third application is in the study of cell proliferation, where various types of cell can divide and differentiate.
本文提供了一种计算树的拓扑结构和节点时间的联合概率密度的方法,该树由多类型年龄依赖二元分支过程生成,然后在给定时间进行采样。这些过程在两个方面是恒定速率生死过程的推广。粒子类型数量有限而非单一类型:每个粒子的行为与同类型的其他粒子相同,但不同类型的粒子行为可能不同。其次,粒子的寿命(在其死亡、转变为另一种类型或分裂为两个之前)遵循任意分布,而非恒定速率情况下的指数寿命。两个应用涉及宏观进化模型:粒子代表物种,现存物种是随机采样的。在一个应用中,比较了宏观进化的1型和2型模型。另一个应用针对贝叶斯系统发育分析,此处考虑的模型可以提供比通常使用的更现实、更稳健的树的先验分布。第三个应用是在细胞增殖研究中,其中各种类型的细胞可以分裂和分化。