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有根系统发生树的偏序和聚类相似度测度。

A partial order and cluster-similarity metric on rooted phylogenetic trees.

机构信息

Centre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia.

出版信息

J Math Biol. 2020 Apr;80(5):1265-1290. doi: 10.1007/s00285-019-01461-1. Epub 2020 Feb 17.

Abstract

Metrics on rooted phylogenetic trees are integral to a number of areas of phylogenetic analysis. Cluster-similarity metrics have recently been introduced in order to limit skew in the distribution of distances, and to ensure that trees in the neighbourhood of each other have similar hierarchies. In the present paper we introduce a new cluster-similarity metric on rooted phylogenetic tree space that has an associated local operation, allowing for easy calculation of neighbourhoods, a trait that is desirable for MCMC calculations. The metric is defined by the distance on the Hasse diagram induced by a partial order on the set of rooted phylogenetic trees, itself based on the notion of a hierarchy-preserving map between trees. The partial order we introduce is a refinement of the well-known refinement order on hierarchies. Both the partial order and the hierarchy-preserving maps may also be of independent interest.

摘要

基于有根系统发育树的度量是系统发育分析的多个领域的基础。最近引入了聚类相似性度量,以限制距离分布的偏斜,并确保彼此相邻的树具有相似的层次结构。在本文中,我们引入了一种新的基于有根系统发育树空间的聚类相似性度量,该度量具有相关的局部操作,便于计算邻域,这是 MCMC 计算所需要的特性。该度量由基于树之间的保层次映射概念的有根系统发育树集合上的偏序诱导的哈塞图上的距离定义。我们引入的偏序是著名的层次结构细化序的细化。引入的偏序和保层次映射本身也可能具有独立的意义。

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