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利用基于合并模型的分歧时间范围的近似似然估计。

Approximate Likelihood Estimation of Divergence Time Range Using a Coalescent-based Model.

机构信息

Department of Biostatistics, Columbia University.

出版信息

Evol Bioinform Online. 2013 Dec 10;9:499-509. doi: 10.4137/EBO.S13080. eCollection 2013.

Abstract

We present an estimation of divergence time-range based on a coalescent model. This model sum the probability of coalescent trees, taking into account the effect of incomplete lineage sorting. Maximum likelihood estimate based on this model has been computed previously; however, a formula for divergence time-range estimate or confidence interval has never been presented for this model as the expression of the likelihood makes this estimation difficult to compute. Our formula for the divergence time-range estimate can be readily coded into a program. We did not use a simulation or resampling-based approach and therefore our method is fast and less computationally intensive. We demonstrate that our method is much faster and as accurate a simulation-based approach.

摘要

我们提出了一种基于合并模型的分歧时间范围估计。该模型考虑了不完全谱系分选的影响,对合并树的概率进行了求和。先前已经计算了基于该模型的最大似然估计;然而,由于似然表达式使得这种估计难以计算,因此从未为该模型提出分歧时间范围估计或置信区间的公式。我们的分歧时间范围估计公式可以很容易地编入程序。我们没有使用模拟或基于重采样的方法,因此我们的方法速度快,计算强度低。我们证明了我们的方法比基于模拟的方法更快、更准确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1514/3869629/8d973493abcf/ebo-9-2013-499f1.jpg

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