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Updated: Jun 6, 2025

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
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Published on: November 26, 2013

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MS2Lipid:一种使用机器学习和精选的并联质谱数据的脂质子类预测程序.

Nami Sakamoto1, Takaki Oka1, Yuki Matsuzawa1

  • 1Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei-shi, Tokyo 184-8588, Japan.

Metabolites
|November 26, 2024
PubMed
概括

一种新的机器学习模型MS2Lipid,可以从双重质谱 (MS/MS) 数据准确地预测脂类子类. 该工具增强了脂质代谢物注释,为生物和临床研究提供了一个独立的标准.

关键词:
人类便样本的人类便样本脂类类预测 脂类预测机器学习是机器学习.微生物群依赖的脂质.双联质谱的质谱.没有针对性的脂质组学.

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