首页> 外文OA文献 >A note on Brazeau et al.'s (2017) algorithm for characters with inapplicable data, illustrated with an analysis of their Fig. 3d using anagallis, a program for parsimony analysis of character hierarchies
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A note on Brazeau et al.'s (2017) algorithm for characters with inapplicable data, illustrated with an analysis of their Fig. 3d using anagallis, a program for parsimony analysis of character hierarchies

机译:关于Brazeau等人(2017)针对不适用数据的字符的算法的注释,通过使用anagallis对图3d的分析进行了说明,anagallis是用于字符层次结构的简约分析的程序

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摘要

Brazeau et al. (2017) recently published a paper with a single-character algorithm to calculate the score of a character with inapplicable data on a tree, aiming to maximize homology in such characters. In this note, I show by example (using their Fig. 3d) that their algorithm is insufficient to find all optimal inner node state reconstructions in such characters. The root cause seems to be a inherent built-in constraint on the evaluation of implied absence/presence characters in their algorithm. In more complex cases, this constraint can lead to an overestimation of the optimal minimal score of character hierarchies and to errors in the trees that are selected as optimal during tree search.
机译:Brazeau等。 (2017)最近发表了一篇论文,该论文采用单字符算法来计算具有不适用数据的字符在树上的分数,旨在最大程度地提高此类字符的同源性。在本说明中,我通过示例(使用其图3d)显示,它们的算法不足以找到此类字符中的所有最佳内部节点状态重构。根本原因似乎是对其算法中隐含的缺席/出席角色的评估固有的内置约束。在更复杂的情况下,此约束可能导致对字符层次结构的最佳最小分数的过高估计,并导致在树搜索期间选择为最佳的树中的错误。

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    De Laet Jan;

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