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通过深度学习改进不完整基因组的基因组规模代谢模型

Meine D Boer1,2, Chrats Melkonian1,3, Haris Zafeiropoulos4

  • 1Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, the Netherlands.

iScience
|December 11, 2024
PubMed
概括

这项研究引入了人工智能驱动的深度神经网络导向的反应体赋值 (DNNGIOR),以填补细菌代谢模型中的空白. DNNGIOR显著提高了从基因组数据重建微生物新陈代谢的准确性.

关键词:
生物计算方法是一种生物计算方法.计算型生物信息学 计算型生物信息学基因组分析 基因组分析微生物基因组学 微生物基因组学

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