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Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species

Meiting Jiang De-an Guo Wenzhi Yang Yuyang Sha Yadan Zou Xiaoyan Xu Mengxiang Ding Xu Lian Hongda Wang Qilong Wang Kefeng Li

药物分析学报（英文）2025，Vol.15Issue(1)：126-137,12.
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药物分析学报（英文）2025，Vol.15Issue(1)：126-137,12.DOI:10.1016/j.jpha.2024.101116

Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species

Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species

Meiting Jiang 1De-an Guo 2Wenzhi Yang 1Yuyang Sha 3Yadan Zou 1Xiaoyan Xu 1Mengxiang Ding 1Xu Lian 3Hongda Wang 1Qilong Wang 1Kefeng Li3

作者信息

  • 1. State Key Laboratory of Chinese Medicine Modernization,Tianjin University of Traditional Chinese Medicine,Tianjin,301617,China||Haihe Laboratory of Modern Chinese Medicine,Tianjin,301617,China
  • 2. State Key Laboratory of Chinese Medicine Modernization,Tianjin University of Traditional Chinese Medicine,Tianjin,301617,China||Haihe Laboratory of Modern Chinese Medicine,Tianjin,301617,China||Shanghai Research Center for Modernization of Traditional Chinese Medicine,Shanghai Institute of Materia Medica,Chinese Academy of Sciences,Shanghai,201203,China
  • 3. Centre for Artificial Intelligence Driven Drug Discovery,Faculty of Applied Sciences,Macao Polytechnic University,Macao SAR,999078,China
  • 折叠

摘要

关键词

Liquid chromatography-mass spectrometry/Pseudo-targeted metabolomics/Deep neural network/Species differentiation/Ginseng

Key words

Liquid chromatography-mass spectrometry/Pseudo-targeted metabolomics/Deep neural network/Species differentiation/Ginseng

引用本文复制引用

Meiting Jiang,De-an Guo,Wenzhi Yang,Yuyang Sha,Yadan Zou,Xiaoyan Xu,Mengxiang Ding,Xu Lian,Hongda Wang,Qilong Wang,Kefeng Li..Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species[J].药物分析学报（英文）,2025,15(1):126-137,12.

基金项目

This work was supported by the National Key R&D Program of China(Grant No.:2022YFC3501805),the National Natural Science Foundation of China(Grant No.:82374030),the Science and Tech-nology Program of Tianjin in China(Grant No.:23ZYJDSS00030),the Tianjin Outstanding Youth Fund,China(Grant No.:23JCJQJC00030),and the China Postdoctoral Science Foundation-Tianjin Joint Support Program(Grant No.:2023T030TJ). （Grant No.:2022YFC3501805）

药物分析学报（英文）

2095-1779

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