Cite
Interpretable machine learning identifies metabolites associated with glomerular filtration rate in type 2 diabetes patients.
MLA
Tian-Feng An, et al. “Interpretable Machine Learning Identifies Metabolites Associated with Glomerular Filtration Rate in Type 2 Diabetes Patients.” Frontiers in Endocrinology, June 2024, pp. 1–11. EBSCOhost, https://doi.org/10.3389/fendo.2024.1279034.
APA
Tian-Feng An, Zhi-Peng Zhang, Jun-Tang Xue, Wei-Ming Luo, Yang Li, Zhong-Ze Fang, & Guo-Wei Zong. (2024). Interpretable machine learning identifies metabolites associated with glomerular filtration rate in type 2 diabetes patients. Frontiers in Endocrinology, 1–11. https://doi.org/10.3389/fendo.2024.1279034
Chicago
Tian-Feng An, Zhi-Peng Zhang, Jun-Tang Xue, Wei-Ming Luo, Yang Li, Zhong-Ze Fang, and Guo-Wei Zong. 2024. “Interpretable Machine Learning Identifies Metabolites Associated with Glomerular Filtration Rate in Type 2 Diabetes Patients.” Frontiers in Endocrinology, June, 1–11. doi:10.3389/fendo.2024.1279034.