首页|Southern Medical University Reports Findings in Machine Learning (Systematic ana lyses of AISNPs screening and classification algorithms based on genome-wide dat a for forensic biogeographic ancestry inference)
Southern Medical University Reports Findings in Machine Learning (Systematic ana lyses of AISNPs screening and classification algorithms based on genome-wide dat a for forensic biogeographic ancestry inference)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news reportingfrom Guangdong, People’s Republic of Chi na, by NewsRx journalists, research stated, “Identifying thebiogeographic ances tral origin of biological sample left at a crime scene can provide important evi dencefor judicial case, as well as clue for narrowing down suspect. Ancestry in formative single nucleotidepolymorphism (AISNP) has become one of the most impo rtant genetic markers in recent years for screeningancestry information loci an d analyzing the population genetic background and structure due to their highnu mber and wide distributions in the human genome.”
GuangdongPeople’s Republic of ChinaA siaAlgorithmsCyborgsEmerging TechnologiesGeneticsLegal IssuesMachine Learning
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