PACE: Probabilistic Assessment for Contributor Estimation— A machine learning-based assessment of the number of contributors in DNA mixtures

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• 作者：Michael A. Marciano¹ ; ^{mamarcia@syr.edu} ; Jonathan D. Adelman¹
• 关键词：DNA mixtures ; Number of contributors ; Probabilistic ; Machine learning
• 刊名：Forensic Science International: Genetics
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：27
• 期：Complete
• 页码：82-91
• 全文大小：842 K
• 卷排序：27

文摘

The introduction of a new and powerful technique to estimate the number of contributors in a DNA mixture and convey the results probabilistically. The use of machine learning permits high accuracy while maintaining low computational expense (e.g., standard computer/processor) and high speed, less than 1 s per sample of up to 4 contributors. The technique can be applied to any amplification chemistry given the availability of properly sized data sets.