Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

Journal: International immunopharmacology
PMID:

Abstract

OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).

Authors

  • Pan Xiong
    Department of General Practice, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China.
  • Qiuhong Huang
    Department of General Practice, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China.
  • Yang Mao
    Department of General Practice, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China.
  • Hang Qian
    Institute of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China.
  • Yi Yang
    Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Ziye Mou
    Department of General Practice, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China.
  • Xiaohui Deng
    Department of Geriatrics, Beijing Jishuitan Hospital, Beijing 100035, China.
  • Guansong Wang
    Institute of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China. Electronic address: wanggs@tmmu.edu.cn.
  • Binfeng He
    Department of General Practice, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China. Electronic address: ldhbf@tmmu.edu.cn.
  • Zaichun You
    Department of General Practice, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing 400037, China. Electronic address: youzaichun619@163.com.