PLA2G2A is a candidate biomarker for sepsis diagnosis in mice through machine learning algorithms
In this study, machine-learning screening was implemented on human transcriptomic data from public GEO datasets and independent experiments were served to validate candidate biomarkers for sepsis in mice models. Microarray data were obtained from the GSE236713 dataset, and differentially expressed genes (DEG...