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Updated: Jan 29, 2026

Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
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ReShuffle-MS:区域指导数据增强改进了来自MALDI-TOF质谱的基于人工智能的对大肠杆菌的抗性预测

Dongbo Dai1, Chenyang Huang1, Junjie Li1

  • 1School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.

Microorganisms
|January 28, 2026
PubMed
概括

ReShuffle-MS增强了人工智能 (AI) 模型,用于从质谱 (MS) 数据中预测抗菌素耐药性 (AMR),即使采用有限的样本. 这种方法提高了预测准确度和快速诊断的临床实用性.

关键词:
抗微生物耐药性 (AMR) 是一种数据增强数据增强深度学习是一种深度学习.机器学习是机器学习.质谱学 (MS) 是一种质谱学.频谱重组是指光谱的重组.

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