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Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology: disclosure of fundamental structural and metabolic relationships.

Mika Ala-KorpelaSiyu ZhaoMarjo-Riitta JärvelinVille-Petteri MäkinenPauli Ohukainen
Published in: International journal of epidemiology (2021)
The fundamental structural and metabolic relationships between lipoprotein subclasses elucidated in this study empower detailed interpretation of lipoprotein metabolism. Understanding the intricate details of these extensive data is important for the precise interpretation of novel therapeutic opportunities and for fully utilizing the potential of forthcoming analyses of genetic and metabolic data in large biobanks.
Keyphrases
  • electronic health record
  • big data
  • genome wide
  • risk factors
  • machine learning
  • gene expression
  • data analysis
  • dna methylation
  • deep learning