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Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning

Author
Organization
Project
Bioinformatics: from nucleotids to networks (N2N)
Keywords
Fructobacillus, Lactococcus, Leuconostoc, Machine learning techniques, Data processing, Identification, Species, Bacteria, MALDI-TOF MS

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Citation

Please use this url to cite or link to this publication:

Chicago
De Bruyne, Katrien, Bram Slabbinck, Willem Waegeman, Paul Vauterin, Bernard De Baets, and Peter Vandamme. 2011. “Bacterial Species Identification from MALDI-TOF Mass Spectra Through Data Analysis and Machine Learning.” Systematic and Applied Microbiology 34 (1): 20–29.
APA
De Bruyne, Katrien, Slabbinck, B., Waegeman, W., Vauterin, P., De Baets, B., & Vandamme, P. (2011). Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning. SYSTEMATIC AND APPLIED MICROBIOLOGY, 34(1), 20–29.
Vancouver
1.
De Bruyne K, Slabbinck B, Waegeman W, Vauterin P, De Baets B, Vandamme P. Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning. SYSTEMATIC AND APPLIED MICROBIOLOGY. 2011;34(1):20–9.
MLA
De Bruyne, Katrien, Bram Slabbinck, Willem Waegeman, et al. “Bacterial Species Identification from MALDI-TOF Mass Spectra Through Data Analysis and Machine Learning.” SYSTEMATIC AND APPLIED MICROBIOLOGY 34.1 (2011): 20–29. Print.
@article{1988345,
  author       = {De Bruyne, Katrien and Slabbinck, Bram and Waegeman, Willem and Vauterin, Paul and De Baets, Bernard and Vandamme, Peter},
  issn         = {0723-2020},
  journal      = {SYSTEMATIC AND APPLIED MICROBIOLOGY},
  language     = {eng},
  number       = {1},
  pages        = {20--29},
  title        = {Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning},
  url          = {http://dx.doi.org/10.1016/j.syapm.2010.11.003},
  volume       = {34},
  year         = {2011},
}

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