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Step-by-Step Construction of Gene Co-Expression Network Analysis for Identifying Novel Biomarkers of Sepsis Occurrence and Progression.

Xianqiang YuCheng QuLu KeZhihui TongWei-Qin Li
Published in: International journal of general medicine (2021)
Our study shows that three immune-related genes CHMP1A, MED15 and MGAT1 are important biomarkers of sepsis. The screened genes may help to distinguish normal individuals from patients with different degrees of sepsis.
Keyphrases
  • network analysis
  • septic shock
  • acute kidney injury
  • intensive care unit
  • genome wide
  • poor prognosis
  • risk assessment
  • copy number
  • gene expression
  • binding protein