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Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles.

Anita RáczFilip AndrićDávid BajuszKároly Héberger
Published in: Metabolomics : Official journal of the Metabolomic Society (2018)
Fingerprint analysis based on the qualitative metabolomic profiles and binary similarity measures proved to be a reliable way in finding the same/similar patterns in metabolomic data as that extracted from quantitative data.
Keyphrases
  • electronic health record
  • big data
  • ionic liquid
  • systematic review
  • high resolution
  • data analysis
  • quality control
  • machine learning
  • deep learning