APA (7th ed.) Citation

Yan, X., Yang, Z., Zhao, H., Feng, G., Li, S., Li, Y., . . . Zhao, S. (2025). Unveiling lipoprotein subfractions signature in high-FNPO PCOS: Implications for PCOM diagnosis and risk assessment using advanced machine learning models. BMC Medicine, 23(1), 1. https://doi.org/10.1186/s12916-025-04120-z

Chicago Style (17th ed.) Citation

Yan, Xueqi, et al. "Unveiling Lipoprotein Subfractions Signature in High-FNPO PCOS: Implications for PCOM Diagnosis and Risk Assessment Using Advanced Machine Learning Models." BMC Medicine 23, no. 1 (2025): 1. https://doi.org/10.1186/s12916-025-04120-z.

MLA (9th ed.) Citation

Yan, Xueqi, et al. "Unveiling Lipoprotein Subfractions Signature in High-FNPO PCOS: Implications for PCOM Diagnosis and Risk Assessment Using Advanced Machine Learning Models." BMC Medicine, vol. 23, no. 1, 2025, p. 1, https://doi.org/10.1186/s12916-025-04120-z.