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Updated: Sep 16, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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一种基于机器学习的协奏质谱相似性预测评估方法

Michael Strobel1, Alberto Gil-de-la-Fuente2, Mohammad Reza Zare Shahneh1

  • 1Department of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, CA, 92521, USA.

BMC bioinformatics
|July 11, 2025
PubMed
概括

本研究介绍了一种标准化的基准,用于评估机器学习模型在并联质谱 (MS/MS) 频谱相似性. 新的方法确保了可靠的模型通用性,并促进了用于小分子分析的不同机器学习方法的比较.

关键词:
一个基准的基准.机器学习是机器学习.质谱测量质量谱测量代谢学 代谢学 代谢学测量光谱相似性的措施.

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