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Updated: Jan 22, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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基于路径网络的机器学习模型,用于基于路径网络的高通量选肥胖原体

Xiaoqing Wang1, Yang Huang2, Fei Li1

  • 1CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS) (YICCAS), Yantai 264003, China.

Environment & health (Washington, D.C.)
|January 21, 2026
PubMed
概括

科学家们开发了一种机器学习系统,使用不良结果通路网络 (AONs) 来识别与肥胖有关的代谢破坏性化学物质. 这种查工具准确地预测肥胖原体,并指导开发更安全的化学品.

关键词:
不良结果路径网络 (AONs)计算毒理学计算毒理学机器学习 机器学习代谢综合征是代谢综合征.肥胖问题 肥胖问题

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