Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning
- Author
- DE BRUYNE, Katrien1 2 ; SLABBINCK, Bram1 3 ; WAEGEMAN, Willem3 ; VAUTERIN, Paul2 ; DE BAETS, Bernard3 ; VANDAMME, Peter1
[1] Laboratory of Microbiology, Ghent University, K.L. Ledeganckstraat 35, 9000 Ghent, Belgium
[2] Applied Maths N.V., Keistraat 120, 9830 Sint-Martens-Latem, Belgium
[3] KERMIT, Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, 9000 Ghent, Belgium - Issue title
- Applications of MALDI-TOF MS for the Identification and Typing of Microorganisms
- Author (monograph)
- MOORE, Edward R. B (Editor)1
[1] Sahlgrenska Akademin Göteborgs Universitet, Göteborg, Sweden - Source
Systematic and applied microbiology (Print). 2011, Vol 34, Num 1, pp 20-29, 10 p ; ref : 47 ref
- CODEN
- SAMIDF
- ISSN
- 0723-2020
- Scientific domain
- Environment; Microbiology, infectious diseases
- Publisher
- Elsevier, München
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- Bacteria Data processing Fructobacillus Identification Lactococcus Leuconostoc MALDI-TOF MS Machine learning techniques Species
- Keyword (fr)
- Analyse donnée Identification Lactococcus Leuconostoc Méthode Spectrométrie masse Bactérie lactique Bactérie Micrococcales Processus acquisition Streptococcaceae
- Keyword (en)
- Data analysis Identification Lactococcus Leuconostoc Method Mass spectrometry Lactic acid bacteria Bacteria Micrococcales Acquisition process Streptococcaceae
- Keyword (es)
- Análisis datos Identificación Lactococcus Leuconostoc Método Espectrometría masa Bacteria láctica Bacteria Micrococcales Proceso adquisición Streptococcaceae
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A05 Microbiology / 002A05B Bacteriology / 002A05B14 Bacteriological methods and techniques used in bacteriology
- Discipline
- Microbiology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 23942398
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.syapm.2010.11.003 
https://dx.doi.org/10.1016/j.syapm.2010.11.003
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