Article
Identification of potential diagnostic and prognostic biomarkers for sepsis based on machine learning
1 Jan 2023
Abstract excerpt
Abstract Background To identify potential diagnostic and prognostic biomarkers of the early stage of sepsis. Methods The differentially expressed genes (DEGs) between sepsis and control transcriptomes were screened from GSE65682 and GSE134347 datasets. The candidate biomarkers were identified by the least absolute shrinkage and selection operator (LASSO) regression and support vector machine recursive feature...
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