首页|Shenzhen University Reports Findings in Machine Learning (Ancestry analysis usin g a self-developed 56 AIM-InDel loci and machine learning methods)
Shenzhen University Reports Findings in Machine Learning (Ancestry analysis usin g a self-developed 56 AIM-InDel loci and machine learning methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Guangdong, People’s Re public of China, by NewsRx correspondents, research stated, “Insertion/deletion (InDel) polymorphisms can be used as one of the ancestry-informative markers in ancestry analysis. In this study, a self-developed panel consisting of 56 ancest ry-informative InDels was used to investigate the genetic structures and genetic relationships between Chinese Inner Mongolia Manchu group and 26 reference popu lations.” Our news journalists obtained a quote from the research from Shenzhen University , “The Inner Mongolia Manchu group was closely related in genetic background to East Asian populations, especially the Han Chinese in Beijing. Moreover, populat ions from northern and southern East Asia displayed obvious variations in ancest ral components, suggesting the potential value of this panel in distinguishing t he populations from northern and southern East Asia. Subsequently, four machine learning models were performed based on the 56 AIM-InDel loci to evaluate the pe rformance of this panel in ancestry prediction. The random forest model presente d better performance in ancestry prediction, with 91.87% and 99.73 % accuracy for the five and three continental populations, respect ively. The individuals of the Inner Mongolia Manchu group were assigned to the E ast Asian populations by the random forest model, and they exhibited closer gene tic affinities with northern East Asian populations.”
GuangdongPeople’s Republic of ChinaA siaAsiaCyborgsEmerging TechnologiesGeneticsMachine Learning
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