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科利斯指数内的平方可以产生更好的平衡指数。

Squaring within the Colless index yields a better balance index.

机构信息

Department of Computer and Information Science, Linköping University, 581 83 Linköping, Sweden.

Department of Mathematics and Computer Science, University of the Balearic Islands, E-07122 Palma, Spain; Balearic Islands Health Research Institute (IdISBa), E-07010 Palma, Spain.

出版信息

Math Biosci. 2021 Jan;331:108503. doi: 10.1016/j.mbs.2020.108503. Epub 2020 Nov 27.

Abstract

The Colless index for bifurcating phylogenetic trees, introduced by Colless (1982), is defined as the sum, over all internal nodes v of the tree, of the absolute value of the difference of the sizes of the clades defined by the children of v. It is one of the most popular phylogenetic balance indices, because, in addition to measuring the balance of a tree in a very simple and intuitive way, it turns out to be one of the most powerful and discriminating phylogenetic shape indices. But it has some drawbacks. On the one hand, although its minimum value is reached at the so-called maximally balanced trees, it is almost always reached also at trees that are not maximally balanced. On the other hand, its definition as a sum of absolute values of differences makes it difficult to study analytically its distribution under probabilistic models of bifurcating phylogenetic trees. In this paper we show that if we replace in its definition the absolute values of the differences of clade sizes by the squares of these differences, all these drawbacks are overcome and the resulting index is still more powerful and discriminating than the original Colless index.

摘要

分叉系统发育树的科利斯指数由科利斯(1982)提出,定义为树中所有内部节点 v 的绝对值之和,该绝对值是由 v 的子节点定义的分支大小的差异。它是最受欢迎的系统发育平衡指数之一,因为除了以非常简单和直观的方式测量树的平衡外,它还是最强大和最具辨别力的系统发育形状指数之一。但是它也有一些缺点。一方面,尽管其最小值出现在所谓的最大平衡树上,但几乎总是在非最大平衡树上也达到最小值。另一方面,由于它的定义为差异的绝对值之和,因此很难在分叉系统发育树的概率模型下对其分布进行分析研究。在本文中,我们表明,如果我们在其定义中用这些差异的平方代替分支大小差异的绝对值,那么所有这些缺点都将得到克服,并且所得指数仍然比原始科利斯指数更强大和更具辨别力。

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