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Updated: May 24, 2025

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使用PCA-XGBoost模型的生物地理祖先推断管道及其在亚洲人口中的应用

Chunnain Wang1, Shuaiqi Wang2, Yiru Zhao3

  • 1School of Computer Science, Shaanxi Normal University, Xian, Shaanxi 710119, China; Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing 100038, China.

Forensic science international. Genetics
|March 4, 2025
PubMed
概括

这项研究引入了生物地理祖先 (BGA) 推断的新管道,在亚洲人群中达到96.27%的准确性. 将人口结构和XGBoost分类与概率比率评估相结合,精度提高到98.96%.

关键词:
生物地理学祖先推断的推断.概率比率评估概率比率的评估.管道管道 管道管道管道主要组件分析的主要组件分析.

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