Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning

• Main Authors: Jiqing Wang (Author), Yuqing Wang (Author), Shanshan Li (Author), Xiaoqin Fang (Author), Chaoyue Zhang (Author), Zuqing Wang (Author), Yi Zheng (Author), Hanzhi Deng (Author), Shifen Xu (Author), Yiqun Mi (Author)
• Format: Book
• Published: Taylor & Francis Group, 2024-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Objective Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and infertility in women, impacting quality of life. Despite advancements, current understanding of PCOS pathogenesis and treatment remains limited. This study uses machine learning-based data mining to ident...