Identification of biomarkers and immune infiltration associated with sexes in SSc: a bioinformatics and machine learning.

Journal: Rheumatology (Oxford, England)
Published Date:

Abstract

OBJECTIVE: This study aimed to identify key candidate genes associated with the sexes of patients with SSc.

Authors

  • Yi'an Tian
    Department of Rheumatology and Immunology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
  • Shuyu Chen
    School of Big Data & Software Engineering, ChongQing University, ChongQing, China.
  • Bingrui Yu
    Department of Neonatology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
  • Yu Chen
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Siyuan Jia
    Department of Neonatology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
  • Huifang Wang
    Department of Neonatology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
  • Li Zhu
    Medical College, Yangzhou University, Yangzhou 225001, China.
  • Zhaofang Tian
    Department of Neonatology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.