Machine learning algorithms integrate bulk and single-cell RNA data to unveil oxidative stress following intracerebral hemorrhage.

Journal: International immunopharmacology
PMID:

Abstract

BACKGROUND: Increased oxidative stress (OS) activity following intracerebral hemorrhage (ICH) had significantly impacting patient prognosis. Identifying optimal genes associated with OS could enhance the understanding of OS after ICH.

Authors

  • Chaonan Du
    Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Cong Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Zhiwei Liu
    Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province, 430070 China.
  • Wenxuan Xin
    Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China.
  • Qizhe Zhang
    College of Informatics, Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan, Hubei, P.R. China.
  • Alleyar Ali
    Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China.
  • Xinrui Zeng
    Department of Neurosurgery, School of Medicine, Southeast University, Nanjing, China.
  • Zhenxing Li
    Department of Neurosurgery, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China. Electronic address: lizhenxing001@126.com.
  • Chiyuan Ma
    Department of Neurosurgery, Jinling Hospital, Nanjing, China. machiyuan_nju@126.com.