Screening of key immunerelated gene in Parkinsons disease based on WGCNA and machine learning.

Journal: Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
PMID: 38755717

Abstract

OBJECTIVES: Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease. However, we still don't fully understand how certain immune-related genes contribute to the disease's development and progression. This study aims to screen key immune-related gene in Parkinson's disease based on weighted gene co-expression network analysis (WGCNA) and machine learning.

Authors

  • Yiming Huang
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China. hym033098@163.com.
  • Aimin Wang
    School of Nursing, Qingdao University, Qingdao, Shandong, China.
  • Fenglin Wang
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China.
  • Yaqi Xu
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China.
  • Wenjing Zhang
    Department of Pharmacy, Shanghai Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
  • Fuyan Shi
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China. shifuyan@wfmc.edu.cn.
  • Suzhen Wang
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China.

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