Castañé, H.; Baiges-Gaya, G.; Hernández-Aguilera, A.; RodrĂguez-TomĂ s, E.; Fernández-Arroyo, S.; Herrero, P.; Delpino-Rius, A.; Canela, N.; Menendez, J.A.; Camps, J.;
et al. Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview. Biomolecules 2021, 11, 473.
https://doi.org/10.3390/biom11030473
AMA Style
Castañé H, Baiges-Gaya G, Hernández-Aguilera A, RodrĂguez-TomĂ s E, Fernández-Arroyo S, Herrero P, Delpino-Rius A, Canela N, Menendez JA, Camps J,
et al. Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview. Biomolecules. 2021; 11(3):473.
https://doi.org/10.3390/biom11030473
Chicago/Turabian Style
Castañé, Helena, Gerard Baiges-Gaya, Anna Hernández-Aguilera, Elisabet RodrĂguez-TomĂ s, Salvador Fernández-Arroyo, Pol Herrero, Antoni Delpino-Rius, Nuria Canela, Javier A. Menendez, Jordi Camps,
and et al. 2021. "Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview" Biomolecules 11, no. 3: 473.
https://doi.org/10.3390/biom11030473
APA Style
Castañé, H., Baiges-Gaya, G., Hernández-Aguilera, A., RodrĂguez-TomĂ s, E., Fernández-Arroyo, S., Herrero, P., Delpino-Rius, A., Canela, N., Menendez, J. A., Camps, J., & Joven, J.
(2021). Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview. Biomolecules, 11(3), 473.
https://doi.org/10.3390/biom11030473