Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning.

Abstract

Authors

• Wenjing Zhang
  Department of Pharmacy, Shanghai Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
• Yalin Wu
  Department of Cardiology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030000, China.
• Yalin Yuan
  Department of Cardiology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030000, China.
• Leigang Wang
  Department of Cardiology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030000, China.
• Bing Yu
  Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Key Laboratory of Animal Disease-resistant Nutrition and Feed of China Ministry of Agriculture and Rural Affairs, Key Laboratory of Animal Disease-resistant Nutrition of Sichuan Province, Ya'an, 625014, China.
• Xin Li
  Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
• Zhong Yao
  Department of Cardiology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030000, China.
• Bin Liang
  Image Processing Center, Beihang University, Beijing 100191, People's Republic of China. Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China.

Keywords

External Resources