Lepoittevin, M.;                     Remaury, Q.B.;                     Lévêque, N.;                     Thille, A.W.;                     Brunet, T.;                     Salaun, K.;                     Catroux, M.;                     Pellerin, L.;                     Hauet, T.;                     Thuillier, R.    
        Advantages of Metabolomics-Based Multivariate Machine Learning to Predict Disease Severity: Example of COVID. Int. J. Mol. Sci. 2024, 25, 12199.
    https://doi.org/10.3390/ijms252212199
    AMA Style
    
                                Lepoittevin M,                                 Remaury QB,                                 Lévêque N,                                 Thille AW,                                 Brunet T,                                 Salaun K,                                 Catroux M,                                 Pellerin L,                                 Hauet T,                                 Thuillier R.        
                Advantages of Metabolomics-Based Multivariate Machine Learning to Predict Disease Severity: Example of COVID. International Journal of Molecular Sciences. 2024; 25(22):12199.
        https://doi.org/10.3390/ijms252212199
    
    Chicago/Turabian Style
    
                                Lepoittevin, Maryne,                                 Quentin Blancart Remaury,                                 Nicolas Lévêque,                                 Arnaud W. Thille,                                 Thomas Brunet,                                 Karine Salaun,                                 Mélanie Catroux,                                 Luc Pellerin,                                 Thierry Hauet,                                 and Raphael Thuillier.        
                2024. "Advantages of Metabolomics-Based Multivariate Machine Learning to Predict Disease Severity: Example of COVID" International Journal of Molecular Sciences 25, no. 22: 12199.
        https://doi.org/10.3390/ijms252212199
    
    APA Style
    
                                Lepoittevin, M.,                                 Remaury, Q. B.,                                 Lévêque, N.,                                 Thille, A. W.,                                 Brunet, T.,                                 Salaun, K.,                                 Catroux, M.,                                 Pellerin, L.,                                 Hauet, T.,                                 & Thuillier, R.        
        
        (2024). Advantages of Metabolomics-Based Multivariate Machine Learning to Predict Disease Severity: Example of COVID. International Journal of Molecular Sciences, 25(22), 12199.
        https://doi.org/10.3390/ijms252212199