APA (7th ed.) Citation

Wu, Y., Liu, C., Huang, J., & Wang, F. Quantitative proteomics reveals pregnancy prognosis signature of polycystic ovary syndrome women based on machine learning. Taylor & Francis Group.

Chicago Style (17th ed.) Citation

Wu, Yuanyuan, Cai Liu, Jinge Huang, and Fang Wang. Quantitative Proteomics Reveals Pregnancy Prognosis Signature of Polycystic Ovary Syndrome Women Based on Machine Learning. Taylor & Francis Group.

MLA (9th ed.) Citation

Wu, Yuanyuan, et al. Quantitative Proteomics Reveals Pregnancy Prognosis Signature of Polycystic Ovary Syndrome Women Based on Machine Learning. Taylor & Francis Group.