Multiple datasets to explore the molecular mechanism of sepsis.

ABSTRACT: This study aimed to identify potential biomarkers, by means of bioinformatics, affecting the occurrence and development of septic shock. Download GSE131761 septic shock data set from NCBI geo database, including 33 control samples and 81 septic shock samples. GSE131761 and sequencing data were used to identify and analyze differentially expressed genes in septic shock patients and normal subjects. In addition, with sequencing data as training set and GSE131761 as validation set, a diagnostic model was established by lasso regression to identify key genes. ROC curve verified the stability of the model. Finally, immune infiltration analysis, enrichment analysis, transcriptional regulation analysis and correlation analysis of key genes were carried out to understand the potential molecular me

SUBMITTER: Lin S 

PROVIDER: S-EPMC9380322 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature