Published October 13, 2023 | Version v2
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Supplemental data of "MSclassifR: an R Package for Supervised Classification of Mass Spectra with Machine Learning Methods"

  • 1. Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, Cimi-Paris, Paris, France
  • 2. AP-HP.Sorbonne université, Hôpital Saint-Antoine, Département de Bactériologie, Paris, France
  • 3. Laboratory of Medical Biology and National Reference Centre for Pneumococci, Intercommunal Hospital of Créteil, 94000 Créteil, France
  • 4. Institut Pasteur, Université Paris Cité, Proteomics Platform, Mass Spectrometry for Biology Unit, UAR CNRS 2024

Description

Supplemental data of the publication "MSclassifR: an R Package for Supervised Classification of Mass Spectra with Machine Learning Methods" in the process of being submitted

 

This includes:

  • Table S1.  Details of the results for datasets 2-4 of this study
  • Table S2. Results for the dataset n° 1 of this study
  • Table S3. Performances of Bruker® system subspecies identification concerning Mycobacterium abscessus complex
  • Tablse S4. Details on the parameters of MSclassifR functions used in the numerical experiments

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