Screening of potential biomarkers of system lupus erythematosus based on WGCNA and machine learning algorithms.

ABSTRACT: Systemic lupus erythematosus (SLE) is an autoimmune disease involving multiple systems. Its recurrent episodes and fluctuating disease courses have a severe impact on patients. Biomarkers to predict disease prognosis and remission are still lacking in SLE. We downloaded the GSE50772 dataset from the Gene Expression Omnibus database and identified differentially expressed genes (DEGs) between SLE and healthy controls. Weighted gene co-expression network analysis was used to identify key gene modules and corresponding genes in SLE. The overlapped genes in DEGs and key modules are used as key genes for subsequent analysis. These key genes were analyzed using 3 machine learning algorithms, including the least absolute shrinkage and selection operator, support vector machine recursive eliminati

SUBMITTER: Li X 

PROVIDER: S-EPMC10681579 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature