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ABSTRACT: Background
Synaptic dysfunction and synapse loss occur in Alzheimer's disease (AD). The current study aimed to identify synaptic-related genes with diagnostic potential for AD.Methods
Differentially expressed genes (DEGs) were overlapped with phenotype-associated module selected through weighted gene co-expression network analysis (WGCNA), and synaptic-related genes. The overlapped hub genes were further processed using machine learning algorithms, intersected with module gene from protein-protein interaction (PPI) network constructed with DEGs, to yield co-hub genes. The diagnostic potentials of the co-hub genes were examined by receiver operating characteristic (ROC) analysis. Correlation between co-hub genes with clinical features and immune cell infiltration was analyze
SUBMITTER: Li H
PROVIDER: S-EPMC12415974 | biostudies-literature | 2025 Jun
REPOSITORIES: biostudies-literature