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