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Generalized frequency coding: A method of preparing polymorphic multistatecharacters for phylogenetic analysis

机译:广义频率编码:一种用于系统发育分析的多态多态字符的制备方法

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摘要

A new method of coding polymorphic multistate characters for phylogenetic analysis is presented. By dividing such characters into subcharacters, their frequency distributions can be represented with discrete states. Differential weighting is used to counter the effect of representing one character with multiple characters. The new method, generalized frequency coding (GFC), is potentially superior to previously used methods in that it incorporates more information and is applicable to both qualitative and quantitative characters. When applied to a previously published data set that includes both types of polymorphic multistate characters, the method performed well, as assessed with g1 and nonparametric bootstrap statistics and giving results congruent with those of other studies. The data set was also used to compare GFC with both gap-weighting and Manhattan distance step matrix coding. On these grounds and for philosophical reasons, we consider GFC to be a better estimator of phylogeny.
机译:提出了一种编码多态多态性状以进行系统发育分析的新方法。通过将这些字符划分为子字符,它们的频率分布可以用离散状态表示。差分加权用于抵消用多个字符表示一个字符的影响。通用频率编码(GFC)这种新方法可能会比以前使用的方法优越,因为它合并了更多信息,并且适用于定性和定量特征。如果将其应用于包含两种类型的多态多态字符的先前发布的数据集,则该方法效果很好,通过g1和非参数自举统计数据进行评估,结果与其他研究的结果一致。该数据集还用于比较GFC与间隙加权和曼哈顿距离步长矩阵编码。基于这些理由,并且出于哲学原因,我们认为GFC是系统发育的更好估计。

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