Yuanyuan Wu, Cai Liu, Jinge Huang, & Fang Wang. (2024). Quantitative proteomics reveals pregnancy prognosis signature of polycystic ovary syndrome women based on machine learning. Taylor & Francis Group.
Chicago Style (17th ed.) CitationYuanyuan Wu, 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, 2024.
MLA (9th ed.) CitationYuanyuan Wu, et al. Quantitative Proteomics Reveals Pregnancy Prognosis Signature of Polycystic Ovary Syndrome Women Based on Machine Learning. Taylor & Francis Group, 2024.
Warning: These citations may not always be 100% accurate.