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Towards large-scale FAME-based bacterial species identification using machine learning techniques

Bram Slabbinck (UGent) , Bernard De Baets (UGent) , Peter Dawyndt (UGent) and Paul De Vos (UGent)
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Keywords
Pseudomonas, Species, Paenibacillus, Machine learning, Identification, Gas chromatography, Fatty acid methyl ester, Bacteria, Bacillus, TOOL, MICROORGANISMS, STAPHYLOCOCCI, CLASSIFICATION, SYSTEM, GAS-LIQUID-CHROMATOGRAPHY, FATTY-ACID-COMPOSITION, Taxonomy, PSEUDOMONAS, PROFILES, GENUS PAENIBACILLUS

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Citation

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

MLA
Slabbinck, Bram, Bernard De Baets, Peter Dawyndt, et al. “Towards Large-scale FAME-based Bacterial Species Identification Using Machine Learning Techniques.” SYSTEMATIC AND APPLIED MICROBIOLOGY 32.3 (2009): 163–176. Print.
APA
Slabbinck, Bram, De Baets, B., Dawyndt, P., & De Vos, P. (2009). Towards large-scale FAME-based bacterial species identification using machine learning techniques. SYSTEMATIC AND APPLIED MICROBIOLOGY, 32(3), 163–176.
Chicago author-date
Slabbinck, Bram, Bernard De Baets, Peter Dawyndt, and Paul De Vos. 2009. “Towards Large-scale FAME-based Bacterial Species Identification Using Machine Learning Techniques.” Systematic and Applied Microbiology 32 (3): 163–176.
Chicago author-date (all authors)
Slabbinck, Bram, Bernard De Baets, Peter Dawyndt, and Paul De Vos. 2009. “Towards Large-scale FAME-based Bacterial Species Identification Using Machine Learning Techniques.” Systematic and Applied Microbiology 32 (3): 163–176.
Vancouver
1.
Slabbinck B, De Baets B, Dawyndt P, De Vos P. Towards large-scale FAME-based bacterial species identification using machine learning techniques. SYSTEMATIC AND APPLIED MICROBIOLOGY. 2009;32(3):163–76.
IEEE
[1]
B. Slabbinck, B. De Baets, P. Dawyndt, and P. De Vos, “Towards large-scale FAME-based bacterial species identification using machine learning techniques,” SYSTEMATIC AND APPLIED MICROBIOLOGY, vol. 32, no. 3, pp. 163–176, 2009.
@article{534746,
  author       = {Slabbinck, Bram and De Baets, Bernard and Dawyndt, Peter and De Vos, Paul},
  issn         = {0723-2020},
  journal      = {SYSTEMATIC AND APPLIED MICROBIOLOGY},
  keywords     = {Pseudomonas,Species,Paenibacillus,Machine learning,Identification,Gas chromatography,Fatty acid methyl ester,Bacteria,Bacillus,TOOL,MICROORGANISMS,STAPHYLOCOCCI,CLASSIFICATION,SYSTEM,GAS-LIQUID-CHROMATOGRAPHY,FATTY-ACID-COMPOSITION,Taxonomy,PSEUDOMONAS,PROFILES,GENUS PAENIBACILLUS},
  language     = {eng},
  number       = {3},
  pages        = {163--176},
  title        = {Towards large-scale FAME-based bacterial species identification using machine learning techniques},
  url          = {http://dx.doi.org/10.1016/j.syapm.2009.01.003},
  volume       = {32},
  year         = {2009},
}

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