[Identification of potential hub genes of Alzheimer's disease by weighted gene co-expression network analysis].

ABSTRACT:

Objective

To investigate the differential expression gene modules and hub genes associated with Alzheimer's disease (AD) by weighted gene co-expression network analysis (WGCNA) and annotate the biological functions of these modules.

Methods

We downloaded transcriptome sequencing data from the GEO database, and according to the correlation of the genes, a gene co-expression network was constructed with the parameter setting of β=8 and a correlation coefficient threshold of 0.85. Pearson correlation test was used to calculate the correlation between the module genes and clinical traits to screen the gene modules significantly associated with AD and identify the hub genes according to the connectivity within modules. GO functional enrichment analysis and KEGG pathway analysis w

SUBMITTER: Xue J 

PROVIDER: S-EPMC8752417 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature