Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma.

Abstract

Authors

• Xiang Li
  Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
• Donghao Yin
  Beijing You'an Hospital, Affiliated to Capital Medical University, Beijing, 100069, China.
• Jiahao Geng
  Laboratory for Clinical Medicine, School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China.
• Yanyu Xu
• Zijing Xu
  Laboratory for Clinical Medicine, School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China.
• Xuemeng Yang
  Beijing You'an Hospital, Affiliated to Capital Medical University, Beijing, 100069, China.
• Quanwei Li
  Beijing You'an Hospital, Affiliated to Capital Medical University, Beijing, 100069, China.
• Zimeng Shang
  Center of Integrative Medicine, Beijing Ditan Hospital, Affiliated to Capital Medical University, Beijing, 100015, China.
• Zhiyun Yang
  Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China. yangzhiyun66@163.com.
• Zhong Xu
  Department of Gastroenterology, Health Management Center, Zhongnan Hospital of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. zhongxu@whu.edu.cn.
• Jiabo Wang
  School of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
• Enxiang Zhang
  State Key Laboratory for Macromolecule Drugs and Large-scale Manufacturing, School of Pharmaceutical Sciences, Liaocheng University, Liaocheng, 252059, China. zhangenxiang@lcu.edu.cn.
• Xinhua Song
  Laboratory for Clinical Medicine, School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China. Xinhua.song@ccmu.edu.cn.

Keywords

No keywords available for this article.

External Resources