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Rapid identification of chemical components in vitro and in vivo of Menispermi Rhizoma by integrating UPLC-Q-TOF-MS with data post-processing strategy.

Jinxia WeiYuanyuan WangYue ZhangYanxue ZhengJia ShaoWenbo ChengYu-Bo Li
Published in: Phytochemical analysis : PCA (2023)
The data post-processing strategy established could greatly enhance the structural identification efficiency. The results obtained might lay the foundation for further interpretation of clinical effects, mechanism of action and quality control of MR.
Keyphrases
  • quality control
  • electronic health record
  • big data
  • bioinformatics analysis
  • magnetic resonance
  • magnetic resonance imaging
  • machine learning
  • data analysis