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Bioinformatics Analysis for Identifying Pertinent Pathways and Genes in Sepsis.

Yiran LiHongyan ZhangJinyan ShaoJindong ChenTiancheng ZhangXiaoyan MengRuiqing ZongGuang-Zhi JinFei-Xiang Wu
Published in: Computational and mathematical methods in medicine (2021)
Our analysis reveals a series of signal pathways and key genes related to the mechanism of sepsis, which are promising biotargets and biomarkers of sepsis.
Keyphrases
  • bioinformatics analysis
  • septic shock
  • acute kidney injury
  • intensive care unit
  • genome wide
  • dna methylation
  • gene expression
  • transcription factor