Estimation of Confidence in Phylogeny: The Complete-and-Partial Bootstrap Technique
Estimation of Confidence in Phylogeny: The Complete-and-Partial Bootstrap Technique
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DOI：
10.1006/mpev.1995.1005
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发表时间：
1995-01-01
影响因子：
4.1
通讯作者：
Li, Wen-Hsiung
中科院分区：
文献类型：
--
作者：
Zharkikh, Andrey;Li, Wen-Hsiung
自举法是一种广泛用于评估系统发育置信限的统计技术。我们证明，除非正确选择bootstrap检验中使用的临界值，否则bootstrap检验的功率低于Felsenstein提出的C和S检验。如果使用95%临界值，则当可能的替代拓扑数量为三个或更多时，自举比例低估了置信水平；低估的程度随着竞争的备选拓扑数量的增加而增加。为了克服这个问题，我们提出了完全和部分自举技术作为获得置信度无偏估计的方法。该方法是基于一个多项模型的许多备选方案，其中的选择是要作出。完全和部分自举技术可用于估计竞争替代拓扑的有效数量以及特定分类群或推断树拓扑的单系置信水平。该方法可与最大简约法或邻居连接树重建法结合使用。(c) 1995年学术出版社有限公司
The bootstrap is a statistical technique that is widely used to assess confidence limits on phylogenies. We show that the power of the bootstrap test is lower than those of the C and S tests suggested by Felsenstein, unless the critical value employed in the bootstrap test is correctly selected. If the 95% critical value is used, the bootstrap proportions are underestimates of the confidence level when the number of possible alternative topologies is three or more; the degree of underestimation increases with the number of competing alternative topologies. To overcome this problem, we propose the complete-and-partial bootstrap technique as a method for obtaining an unbiased estimate of the confidence level. The method is based on a multinomial model of many alternatives among which the choice is to be made. The complete-and-partial bootstrap technique can be used to estimate the effective number of competing alternative topologies and the confidence level of the monophyly of a particular group of taxa or of an inferred tree topology. This approach can be used with the maximum parsimony or neighbor-joinmg tree reconstruction method. (c) 1995 Academic Press, Inc.