Open Access
Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis
Author(s) -
Rong Sun,
Jihua Feng,
Yulin Yang,
Ruzhi Zhao,
Qiao Ye,
Han Qin,
Lile Wei,
Jianji Pan,
Hongyuan Li,
Zimeng Wu,
Jianfeng Zhang
Publication year - 2021
Publication title -
journal of inflammation research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.656
H-Index - 33
ISSN - 1178-7031
DOI - 10.2147/jir.s301663
Subject(s) - sepsis , septic shock , gene , key (lock) , computational biology , bioinformatics , biology , medicine , genetics , immunology , ecology
Sepsis is a disease associated with high mortality. We performed bioinformatic analysis to identify key biomarkers associated with sepsis and septic shock.