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一个机器学习软件工具箱,支持微生物组分析.

Laura Judith Marcos-Zambrano1, Víctor Manuel López-Molina1, Burcu Bakir-Gungor2

  • 1Computational Biology Group, Precision Nutrition and Cancer Research Program, IMDEA Food Institute, Madrid, Spain.

Frontiers in microbiology
|December 11, 2023
PubMed
概括

机器学习 (ML) 工具对于分析复杂的人类微生物组数据至关重要. 本综述汇编和分类了ML软件,以帮助研究人员了解微生物模式并开发预测性健康模型.

关键词:
数据集成数据集成数据集成特性分析的特征分析.功能生成的功能生成.机器学习是机器学习.微生物基因预测预测微生物代谢建模微生物代谢建模微生物组是一个微生物组.软件 软件 软件 软件 软件

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