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Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
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机器学习在核磁共振 (NMR) 峰值选择中的应用,用于代谢学研究

Moses Mayonu1, Saeedeh Babaee1, Julie Pollak1

  • 1Department of Chemistry and Chemical Engineering, Florida Institute of Technology, 150 West University Boulevard, Melbourne, FL, 32901-6975, USA.

Analytical biochemistry
|December 20, 2025
PubMed
概括

本研究介绍了用于核磁共振 (NMR) 代谢学数据处理的机器学习. 支持向量机区分分析 (SVMDA) 和极端梯度增强区分分析 (XGBDA) 有效识别高质量的峰值,提高数据可靠性.

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