Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma.

Abstract

Authors

• Songyun Zhao
  Department of Neurosurgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
• Zihao Li
  School of Mechanical Engineering and Automation, Harbin Institute of Technology(Shenzhen), Shenzhen, 518055, China.
• Kaibo Liu
  Department of Plastic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• Gaoyi Wang
  Department of Plastic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• Quanqiang Wang
  Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• Hua Yu
  School of Computer Science and Technology, Tianjin University, Nankai District, Tianjin 300072, China. yuhua@tju.edu.cn.
• Wanying Chen
  Department of Plastic Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130000, China.
• Hao Dai
  Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
• Yijun Li
  School of Integrated Circuits, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China.
• Jiaheng Xie
  Department of Management Information Systems, University of Arizona, Tucson, AZ, USA.
• Yucang He
  Department of Plastic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. heyucang0@163.com.
• Liqun Li
  Department of Plastic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. wz.llq@wmu.edu.cn.

Keywords

External Resources