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ABSTRACT: Background
Major depressive disorder (MDD) is a severe, unpredictable, ill-cured, relapsing neuropsychiatric disorder. A recently identified type of death called cuproptosis has been linked to a number of illnesses. However, the influence of cuproptosis-related genes in MDD has not been comprehensively assessed in prior study.Aim
This investigation intends to shed light on the predictive value of cuproptosis-related genes for MDD and the immunological microenvironment.Methods
GSE38206, GSE76826, GSE9653 databases were used to analyze cuproptosis regulators and immune characteristics. To find the genes that were differently expressed, weighted gene co-expression network analysis was employed. We calculated the effectiveness of the random forest model, generalized lin
SUBMITTER: Lei D
PROVIDER: S-EPMC10415818 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature