首页|New Machine Learning Study Results Reported from University of Fribourg (Using r uns of homozygosity and machine learning to disentangle sources of inbreeding an d infer self-fertilization rates)
New Machine Learning Study Results Reported from University of Fribourg (Using r uns of homozygosity and machine learning to disentangle sources of inbreeding an d infer self-fertilization rates)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Fribourg, Switzerla nd, by NewsRx journalists, research stated, “Runs of homozygosity(ROHs) are ind icative of elevated homozygosity and inbreeding due to mating of closely related individuals.Self-fertilization can be a major source of inbreeding which eleva tes genome-wide homozygosity and thusshould also create long ROHs.”
University of FribourgFribourgSwitze rlandEuropeCyborgsEmerging TechnologiesMachine Learning
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