Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana
Publié dansChemometrics and intelligent laboratory systems, vol. 104, no. 1, p. 20-27
Date de publication2010
Résumé
Citation (format ISO)
BOCCARD, Julien et al. Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana. In: Chemometrics and intelligent laboratory systems, 2010, vol. 104, n° 1, p. 20–27. doi: 10.1016/j.chemolab.2010.03.003
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Article (Published version)
Identifiants
- PID : unige:10807
- DOI : 10.1016/j.chemolab.2010.03.003
ISSN du journal0169-7439