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Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations.

Lu LiShi YanDavid HornerMorten A RasmussenAge K SmildeEvrim Acar
Published in: Metabolomics : Official journal of the Metabolomic Society (2024)
The CMTF-based approach provides a complete picture of static and dynamic biomarkers for the same subject stratifications-when markers are present in both fasting and dynamic states.
Keyphrases
  • blood glucose
  • mass spectrometry
  • electronic health record
  • machine learning
  • skeletal muscle
  • metabolic syndrome
  • deep learning
  • artificial intelligence
  • data analysis