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RIPPER: a framework for MS1 only metabolomics and proteomics label-free relative quantification.

Susan K. Van RiperLeeAnn HigginsJohn V. CarlisTimothy J. Griffin
Published in: Bioinform. (2016)
Keyphrases
  • main contribution
  • naive bayes
  • theoretical framework
  • learning scheme
  • rule induction
  • data sets
  • bayesian networks
  • classification accuracy
  • logic programs
  • conceptual framework
  • statistical learning