Published October 8, 2023 | Version 1
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Supplemental data from "Contribution of Machine Learning for Subspecies Identification from Mycobacterium abscessus Complex with MALDI-TOF MS in Solid and Liquid Media"

  • 1. INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, Sorbonne Université, Cimi-Paris, Paris, France, AP-HP (Assistance Publique Hôpitaux de Paris), Département de Bactériologie, Groupe Hospitalier Universitaire, Sorbonne Université, Hôpital, Saint-Antoine, Paris, France
  • 2. DER (Département d'Enseignement et de Recherche) de Biologie, ENS Paris-Saclay, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
  • 3. Institut Pasteur, Université Paris Cité, Proteomics Platform, Mass Spectrometry for Biology Unit, UAR CNRS 2024, Paris, France
  • 4. AP-HP. Sorbonne Université (Assistance Publique Hôpitaux de Paris), Département de Bactériologie, Groupe Hospitalier Universitaire, Sorbonne Université, Hôpital, Saint-Antoine, Paris, France
  • 5. Sorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, IPLESP, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Parasitologie- Mycologie, 75013 Paris, France
  • 6. Service de Mycobactériologie spécialisée et de référence, Centre National de Référence des Mycobactéries (laboratoire associé), APHP GHU Nord; Université Paris Cité, INSERM IAME UMR 1137 -Paris, France

Description

Supplemental data from "Contribution of Machine Learning for Subspecies Identification from Mycobacterium abscessus Complex with MALDI-TOF MS in Solid and Liquid Media" 

 

This includes :

  • Table S1. Strains of M. abscessus complex isolates included in the study.
  • Table S2. Results of the MALDI BioTyper® (Bruker®) with spectra of this study.
  • Table S3. Statistical comparison of the Kappa coefficient metric according to the Machine Learning methods used in this study using unilateral Wilcoxon signed rank test, with Benjamini-Hochberg correction. 
  • Table S4. Performances of the ML-based pipelines for MABSc subspecies identification using the “test dataset” versus the molecular reference method.
  • Table S5. Performances of the identification of MABSc strains cultivated at calibrate delay with the Metaclassifiers performed.
  • Table S6. Performances of the identification of MABSc strains cultivated at calibrate delay with the Metaclassifiers performed.

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