一般化
注释
相关性
人工智能
自然语言处理
计算机科学
数学
模式识别(心理学)
数学分析
几何学
作者
Zhongda Zeng,Jinfeng Huo,Jinfeng Huo,Yingjiao Shi,Jinfeng Huo,Qianxu Yang,Jinfeng Huo
标识
DOI:10.1016/j.jchromb.2024.124219
摘要
The variation of qualitative information among different types of mainstream hyphenated instruments of ultra-performance liquid chromatography coupled to high-resolution mass spectrometry (UPLC-HRMS) makes data sharing and standardization, and further comparison of results consistency in metabolite annotation not easy to attain. In this work, a quantitative study of correlation and difference was first achieved to systematically investigate the variation of retention time (t
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