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Updated: May 3, 2026

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对复杂微生物群落的殖民结果的数据驱动预测.

Lu Wu1, Xu-Wen Wang2, Zining Tao1,3

  • 1CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Nature communications
|March 17, 2024
PubMed
概括

预测微生物殖民是具有挑战性的. 这项研究使用数据驱动的方法与机器学习预测入侵成功的微生物群落,通过肠道细菌实验验证.

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