使用视觉变压器和并联质谱测量来确定黄酸糖类异构体

Ji In Park1, Myeong Ji Kim1, Kyu Hyeong Lee1

  • 1College of Pharmacy and Integrated Research Institute for Drug Development, Dongguk University-Seoul, Goyang 10326, Republic of Korea.

Plants (Basel, Switzerland)
|December 17, 2024
PubMed
概括

使用视觉转换器 (ViT) 的深度学习模型从质谱学数据中准确地分类了黄类糖化物异构体. 这种计算机视觉方法对分析复杂的ESI-MS/MS光谱,即使在不同的实验条件下,也很有前途.

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