Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting.

MLA

Liu, Yang, et al. “Early Prediction of Incident Liver Disease Using Conventional Risk Factors and Gut-Microbiome-Augmented Gradient Boosting.” Cell Metabolism, vol. 34, no. 5, May 2022, p. 719. EBSCOhost, https://doi.org/10.1016/j.cmet.2022.03.002.

APA

Liu, Y., Méric, G., Havulinna, A. S., Teo, S. M., Åberg, F., Ruuskanen, M., Sanders, J., Zhu, Q., Tripathi, A., Verspoor, K., Cheng, S., Jain, M., Jousilahti, P., Vázquez-Baeza, Y., Loomba, R., Lahti, L., Niiranen, T., Salomaa, V., Knight, R., & Inouye, M. (2022). Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting. Cell Metabolism, 34(5), 719. https://doi.org/10.1016/j.cmet.2022.03.002

Chicago

Liu, Yang, Guillaume Méric, Aki S Havulinna, Shu Mei Teo, Fredrik Åberg, Matti Ruuskanen, Jon Sanders, et al. 2022. “Early Prediction of Incident Liver Disease Using Conventional Risk Factors and Gut-Microbiome-Augmented Gradient Boosting.” Cell Metabolism 34 (5): 719. doi:10.1016/j.cmet.2022.03.002.