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Updated: Feb 14, 2026

Investigating the Microbial Community in the Termite Hindgut - Interview
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cNED框架:在大型河流中以SHAP可解释的环境值建模核心微生物群落和代谢功能

Lunhui Lu1, Xingqian Jian2, Shanshan Lin2

  • 1State Key Laboratory of Lake and Watershed Science for Water Security, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.

Water research
|February 12, 2026
PubMed
概括

预测河流微生物社区对环境变化的反应是具有挑战性的. 一种新的组成神经编码解码器 (cNED) 模型准确预测微生物的动态和功能,有助于河流生态系统的管理.

关键词:
核心微生物组是一个核心微生物组.机器学习是机器学习.微生物的新陈代谢神经网络的神经网络的神经网络这就是 SHAP SHAP 的意思.

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