Integrated machine learning survival framework develops a prognostic model based on macrophage-related genes and programmed cell death signatures in a multi-sample Kidney renal clear cell carcinoma.

Abstract

Authors

• Xuefei Liu
  School of Mechanical Engineering, Anhui University of Technology, Ma'anshan 240302, China.
• Min Deng
  State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China.
• Xing Luo
  College of Mechanical and Control Engineering, Guilin University of Technology, Guilin, Guangxi 541004, China.
• Tingting Li
  Key Laboratory of Biotechnology and Bioresources Utilization (Dalian Minzu University), Ministry of Education, Dalian, China.
• Yanan Ge
  Department of Oncology, Northern Theater Command General Hospital, Shenyang, 110016, Liaoning, China.
• Jianong Li
  Department of Oncology, Northern Theater Command General Hospital, Shenyang, 110016, Liaoning, China.
• Jiang Zhao
  Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
• Limin Yang
  State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Keywords

External Resources