Efron B, Halloran E, Holmes S
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Proc Natl Acad Sci U S A. 1996 Nov 12;93(23):13429-34. doi: 10.1073/pnas.93.23.13429.
Evolutionary trees are often estimated from DNA or RNA sequence data. How much confidence should we have in the estimated trees? In 1985, Felsenstein [Felsenstein, J. (1985) Evolution 39, 783-791] suggested the use of the bootstrap to answer this question. Felsenstein's method, which in concept is a straightforward application of the bootstrap, is widely used, but has been criticized as biased in the genetics literature. This paper concerns the use of the bootstrap in the tree problem. We show that Felsenstein's method is not biased, but that it can be corrected to better agree with standard ideas of confidence levels and hypothesis testing. These corrections can be made by using the more elaborate bootstrap method presented here, at the expense of considerably more computation.
进化树通常是根据DNA或RNA序列数据估算出来的。我们对估算出的树应该有多大的信心呢?1985年,费尔森斯坦[费尔森斯坦,J.(1985年)《进化》39卷,783 - 791页]建议使用自助法来回答这个问题。费尔森斯坦的方法在概念上是自助法的直接应用,被广泛使用,但在遗传学文献中受到了偏差问题的批评。本文关注自助法在树问题中的应用。我们表明费尔森斯坦的方法没有偏差,但可以进行修正,以便更好地与置信水平和假设检验的标准概念相符。这些修正可以通过使用这里提出的更精细的自助法来实现,代价是计算量会大幅增加。