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Unconstrained Diameters for Deep Coalescence

机译:深度结合的无约束直径

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摘要

The minimizing-deep-coalescence (MDC) approach infers a median (species) tree for a given set of gene trees under the deep coalescence cost. This cost accounts for the minimum number of deep coalescences needed to reconcile a gene tree with a species tree where the leaf-genes are mapped to the leaf-species through a function called leaf labeling. In order to better understand the MDC approach we investigate here the diameter of a gene tree, which is an important property of the deep coalescence cost. This diameter is the maximal deep coalescence costs for a given gene tree under all leaf labelings for each possible species tree topology. While we prove that this diameter is generally infinite, this result relies on the diameter’s unrealistic assumption that species trees can be of infinite size. Providing a more practical definition, we introduce a natural extension of the gene tree diameter that constrains the species tree size by a given constant. For this new diameter, we describe an exact formula, present a complete classification of the trees yielding this diameter, derive formulas for its mean and variance, and demonstrate its ability using comparative studies.
机译:最小深度结合法(MDC)方法在深结合成本的情况下,为给定的一组基因树推断了中位树(物种)。这笔费用说明了调和基因树与物种树所需的最少深度合并的次数,在该树中,通过称为叶标签的功能将叶基因映射到叶物种。为了更好地理解MDC方法,我们在这里研究基因树的直径,这是深层合并成本的重要属性。对于每个可能的物种树拓扑,此直径是给定基因树在所有叶标记下的最大深度合并成本。尽管我们证明了该直径通常是无限的,但该结果依赖于直径的不现实假设,即物种树可以具有无限大小。为了提供更实际的定义,我们引入了基因树直径的自然扩展,该扩展通过给定常数限制树种的大小。对于这个新直径,我们将描述一个精确的公式,给出产生该直径的树木的完整分类,导出其均值和方差的公式,并使用比较研究证明其功能。

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