当前位置:
X-MOL 学术
›
J. Am. Stat. Assoc.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An efficient coalescent model for heterochronously sampled molecular data
Journal of the American Statistical Association ( IF 3.7 ) Pub Date : 2024-03-20 , DOI: 10.1080/01621459.2024.2330732 Lorenzo Cappello 1, 2, 3 , Amandine Véber 4 , Julia A. Palacios 3, 5
Journal of the American Statistical Association ( IF 3.7 ) Pub Date : 2024-03-20 , DOI: 10.1080/01621459.2024.2330732 Lorenzo Cappello 1, 2, 3 , Amandine Véber 4 , Julia A. Palacios 3, 5
Affiliation
Molecular sequence variation at a locus informs about the evolutionary history of the sample and past population size dynamics. The Kingman coalescent is used in a generative model of molecular seq...
中文翻译:
异时采样分子数据的有效聚结模型
某个位点的分子序列变异揭示了样本的进化历史和过去的种群规模动态。 Kingman 聚结剂用于分子测序的生成模型...
更新日期:2024-03-23
中文翻译:
异时采样分子数据的有效聚结模型
某个位点的分子序列变异揭示了样本的进化历史和过去的种群规模动态。 Kingman 聚结剂用于分子测序的生成模型...