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Updated: Jul 18, 2025

Mass Spectrometric Analysis of Glycosphingolipid Antigens
13:09

Mass Spectrometric Analysis of Glycosphingolipid Antigens

Published on: April 16, 2013

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通过MS和机器学习――使用酸链接的概念验证,自动推断甘氨酸链接

Xinyi Ni1, Nathan B Murray2, Stephanie Archer-Hartmann2

  • 1Computer Science, Brandeis University, Waltham, Massachusetts 02453, United States.

Journal of the American Society for Mass Spectrometry
|August 24, 2023
PubMed
概括

这项研究引入了一种机器学习框架,以优化质谱法 (MS) 协议,用于分析寡糖类糖链接. 该方法使用低能量的MS碎片化准确识别酸链接,减少样本要求和实验时间.

关键词:
机器学习是机器学习.质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量非负矩阵因子化的非负矩阵因子化.支持矢量机器的支持矢量机器.

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