Cite
Importance of immunometabolic markers for the classification of patients with major depressive disorder using machine learning.
MLA
Sánchez-Carro, Yolanda, et al. “Importance of Immunometabolic Markers for the Classification of Patients with Major Depressive Disorder Using Machine Learning.” Progress in Neuro-Psychopharmacology & Biological Psychiatry, vol. 121, Mar. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.pnpbp.2022.110674.
APA
Sánchez-Carro, Y., de la Torre-Luque, A., Leal-Leturia, I., Salvat-Pujol, N., Massaneda, C., de Arriba-Arnau, A., Urretavizcaya, M., Pérez-Solà, V., Toll, A., Martínez-Ruiz, A., Ferreirós-Martínez, R., Pérez, S., Sastre, J., Álvarez, P., Soria, V., & López-García, P. (2023). Importance of immunometabolic markers for the classification of patients with major depressive disorder using machine learning. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 121, N.PAG. https://doi.org/10.1016/j.pnpbp.2022.110674
Chicago
Sánchez-Carro, Yolanda, Alejandro de la Torre-Luque, Itziar Leal-Leturia, Neus Salvat-Pujol, Clara Massaneda, Aida de Arriba-Arnau, Mikel Urretavizcaya, et al. 2023. “Importance of Immunometabolic Markers for the Classification of Patients with Major Depressive Disorder Using Machine Learning.” Progress in Neuro-Psychopharmacology & Biological Psychiatry 121 (March): N.PAG. doi:10.1016/j.pnpbp.2022.110674.