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Summarizing a Posterior Distribution of Trees Using Agreement Subtrees

机译:使用协议子树总结树的后验分布

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摘要

Bayesian inference of phylogeny is unique among phylogenetic reconstruction methods in that it produces a posterior distribution of trees rather than a point estimate of the best tree. The most common way to summarize this distribution is to report the majority-rule consensus tree annotated with the marginal posterior probabilities of each partition. Reporting a single tree discards information contained in the full underlying distribution and reduces the Bayesian analysis to simply another method for finding a point estimate of the tree. Even when a point estimate of the phylogeny is desired, the majority-rule consensus tree is only one possible method, and there may be others that are more appropriate for the given data set and application. We present a method for summarizing the distribution of trees that is based on identifying agreement subtrees that are frequently present in the posterior distribution. This method provides fully resolved binary trees for subsets of taxa with high marginal posterior probability on the entire tree and includes additional information about the spread of the distribution.
机译:贝叶斯系统发育推断在系统发育重建方法中是独特的,因为它产生树木的后验分布,而不是最佳树木的点估计。总结此分布的最常见方法是报告多数规则共识树,并在每个分区的边际后验概率上注明。报告单个树会丢弃包含在整个基础分布中的信息,并将贝叶斯分析简化为用于找到树的点估计的另一种方法。即使需要系统发育的点估计,多数规则共识树也只是一种可能的方法,并且可能还有其他更适合给定数据集和应用的方法。我们提出一种基于确定后验分布中经常出现的协议子树来概括树的分布的方法。此方法为整个分类树上具有高边际后验概率的分类单元的子集提供了完全解析的二叉树,并且包括有关分布范围的其他信息。

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  • 来源
    《Systematic Biology》 |2007年第4期|578-590|共13页
  • 作者单位

    Department of Ecology and Evolutionary Biology University of Arizona Tucson Arizona 85721 USA E-mail: cranston{at}email.arizona.edu;

    Genome Center University of California Davis One Shields Avenue Davis California 95616 USA E-mail: brannala{at}ucdavis.edu;

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