首页|Studies from Sichuan University Yield New Data on Machine Learning (Using Simula ted Microhaplotype Genotyping Data To Evaluate the Value of Machine Learning Alg orithms for Inferring Dna Mixture Contributor Numbers)
Studies from Sichuan University Yield New Data on Machine Learning (Using Simula ted Microhaplotype Genotyping Data To Evaluate the Value of Machine Learning Alg orithms for Inferring Dna Mixture Contributor Numbers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting from Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Inferring the number of contributors (NoC) is a crucial step in interpreting DNA mixtures, as it directly affects the accu racy of the likelihood ratio calculation and the assessment of evidence strength . However, obtaining the correct NoC in complex DNA mixtures remains challenging due to the high degree of allele sharing and dropout.”
ChengduPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesGeneticsMachine LearningSichu an University
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