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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...
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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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在生物考古学中混合数据集的计算方法.

Jessica Ryan-Despraz1, Amanda Wissler2

  • 1Department of Physical Anthropology, University of Bern, Bern, Switzerland.

Archaeological and anthropological sciences
|October 25, 2024
PubMed
概括

多种归算技术,特别是随机森林 (RF) 和多方法 (MM) 方法,在处理生物考古学混合数据集中缺少的数据方面表现出卓越的性能. 缺失的程度显著影响归算的准确性.

科学领域:

  • 生物考古学的生物考古学
  • 数据科学数据科学数据科学
  • 统计建模 统计建模

背景情况:

  • 缺少数据是生物考古学研究的一个重大挑战,可能会损害分析的完整性.
  • 推算方法为解决混合类型数据集 (定性和定量) 中缺失值的潜在解决方案.

研究的目的:

  • 评估生物考古学中混合数据的各种归算方法的性能.
  • 为了比较单次归算技术与适应的多次归算方法.

主要方法:

  • 在对照数据集 (481个样本 x 41个变量) 上模拟失踪 (5-40%).
  • 测试方法:随机森林 (RF),PCA/MCA,FAMD,热,预测平均匹配 (PMM),RSOV,以及多方法 (MM) 方法.
  • 将单次归算与适应的多次归算方法 (R包"小鼠") 进行比较.
  • 在三个失踪机制 (MCAR,MAR,MNAR) 中评估了性能.

主要成果:

  • 在经过测试的方法中,自适应的多重归算始终优于单一归算.
  • 随机森林 (RF) 和多方法 (MM) 方法显示出最佳性能.
  • PCA/MCA和PMM的多重归算也显示出了强的结果.
  • 缺少数据的数量是影响归算准确性的最关键因素.
关键词:
生物考古学的生物考古学计入计算是指计入计算的方法.缺少的数据数据.混合数据是混合数据.

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结论:

  • 多种归算方法,特别是RF和MM,对于处理生物考古学混合数据集中缺少的数据是有效的.
  • 虽然特定的方法优越,但归算技术的选择应该考虑数据集特征和研究目标.
  • 推算是生物考古学研究的宝贵工具,但仔细考虑其局限性是必不可少的.