在离散类地质分析中导航采样偏差:评估调整的贝叶斯因子的性能
Fabiana Gámbaro1, Maylis Layan2,3,4, Guy Baele5
1Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, 50 av. F.D Roosevelt, 1050 Brussels, Belgium.
Molecular biology and evolution
|October 7, 2025
概括
这项研究引入了调整后的贝叶斯因子 (BFadj),以解决病原体传播史重建中的采样偏差. BFadj 改进了根位置推断,并补充了过渡事件的标准贝叶斯因子 (BFstd).
科学领域:
- * 计算生物学 * 计算生物学
- * 进化生物学 进化生物学
- * 流行病学 流行病学
背景情况:
- * 贝叶斯系地理学使用离散特征分析重建了病原体的分散.
- * 过渡的标准贝叶斯因子 (BFstd) 测试可能会因不均的抽样而产生偏差.
- *现有的偏差校正方法通常需要外部流行病学数据.
研究的目的:
- * 为了评估调整后的贝叶斯系数 (BFadj) 的表现,该系数解释了采样比例.
- * 评估BFadj在没有附加数据的情况下减轻植物地理推断中的采样偏差的能力.
- * 为了比较 BFadj 与 BFstd 关于过渡和根位置推理中的 I 型和 II 型错误.
主要方法:
- *模拟框架用于在各种采样偏差下测试BFstd和BFadj.
- * 计算两种方法的I型和II型错误率.
- *分析BFadj在过渡事件和根位置推断中的表现.
主要成果:
- * BFadj减少了推断过渡事件的I型错误,而增加了II型错误.
- * BFadj 改善了根位置推理的 I 型和 II 型错误率.
- * BFadj有效地结合了相对样本丰度来纠正采样偏差.
结论:
- * BFadj提供了一个有价值的工具来检测和减轻抽样偏差在离散的植物地理分析.
- * 调整后的贝叶斯系数 (BFadj) 提供了一种数据驱动的方法,以提高族群地理推断的准确性.
- * 为实施BFadj在连续时间马尔科夫链 (CTMC) 建模中的病原体进化研究提供了指导方针.
相关概念视频
02:05Gene Evolution - Fast or Slow?
8.0K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
In contrast, regions which code...
8.0K
01:21Testing a Claim about Mean: Unknown Population SD
5.6K
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
5.6K
02:54Evolutionary Relationships through Genome Comparisons
6.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.8K
01:07Speciation Rates
22.6K
Overview
22.6K
02:39Gene Flow
37.4K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
37.4K
03:33Genetic Drift
42.9K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
42.9K