Identification of key genes participating in the progression of COVID-19-related sepsis based on weighted gene co -expression network analysis

Sang Zhen-zhen; Yang Dong-liang; Rao Xin; Jia Li-qun; Guo Yang; Liu Yuan-yuan; Gao Jie

doi:10.3969/j.issn.1002-1949.2023.05.008

Home>Articles>Identification of key genes participating in the progression of COVID-19-related sepsis based on weighted gene co -expression network analysis

DOI: 10.3969/j.issn.1002-1949.2023.05.008

Identification of key genes participating in the progression of COVID-19-related sepsis based on weighted gene co -expression network analysis

Sang Zhen-zhen

Yang Dong-liang

Rao Xin

Jia Li-qun

Guo Yang

Liu Yuan-yuan

Gao Jie

Machine-generated Keywords：

Publication Date：2023-05-10

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：7( 376-382 )

Chinese Journal of Critical Care Medicine

ISTICPKU

ISSN：1002-1949

Year, Vol.(Issue)：2023,43(5)