Jaurrieta-Largo, S.; Miramontes-González, J.P.; Corral-Gudino, L.; Gabella-MartÃn, M.; Pérez-Arroyo, S.; Torres, A.M.; Mateo, J.; Pérez-Castrillón, J.L.; Usategui-MartÃn, R.
A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and ACE2. Int. J. Mol. Sci. 2025, 26, 7975.
https://doi.org/10.3390/ijms26167975
AMA Style
Jaurrieta-Largo S, Miramontes-González JP, Corral-Gudino L, Gabella-MartÃn M, Pérez-Arroyo S, Torres AM, Mateo J, Pérez-Castrillón JL, Usategui-MartÃn R.
A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and ACE2. International Journal of Molecular Sciences. 2025; 26(16):7975.
https://doi.org/10.3390/ijms26167975
Chicago/Turabian Style
Jaurrieta-Largo, SofÃa, José Pablo Miramontes-González, Luis Corral-Gudino, Miriam Gabella-MartÃn, SofÃa Pérez-Arroyo, Ana M. Torres, Jorge Mateo, José Luis Pérez-Castrillón, and Ricardo Usategui-MartÃn.
2025. "A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and ACE2" International Journal of Molecular Sciences 26, no. 16: 7975.
https://doi.org/10.3390/ijms26167975
APA Style
Jaurrieta-Largo, S., Miramontes-González, J. P., Corral-Gudino, L., Gabella-MartÃn, M., Pérez-Arroyo, S., Torres, A. M., Mateo, J., Pérez-Castrillón, J. L., & Usategui-MartÃn, R.
(2025). A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and ACE2. International Journal of Molecular Sciences, 26(16), 7975.
https://doi.org/10.3390/ijms26167975