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Updated: Jun 24, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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人工智能能够统一分析历史和景观对遗传多样性的影响

Emanuel M Fonseca1, Bryan C Carstens1

  • 1Museum of Biological Diversity & Department of Evolution, Ecology and Organismal Biology, The Ohio State University, 1315 Kinnear Rd., Columbus OH 43212, USA.

Molecular phylogenetics and evolution
|June 13, 2024
PubMed
概括

这项研究引入了一个AI框架来分析遗传变异,整合历史和景观因素. 它揭示了巴西青和的遗传多样性的独特驱动因素,展示了该模型的综合方法.

关键词:
卷积神经网络是一种卷积神经网络.人口变化 人口变化.通过距离隔离隔离.景观遗传学 景观遗传学机器学习是机器学习.植物地理学 植物地理学

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