… ) curve analysis of the hub genes was carried out using pROC. The aim of this investigation
was to identify key genes and pathways and to explore potential candidate biomarkers for …

… genes, we performed weighted gene correlation network analysis (WGCNA) to explore the
co-expression … , with each tissue’s co-expression network comprising a variable number of …

… weighted gene coexpression network analysis (WGCNA) to correlate the expression levels of
mRNAs and lncRNAs. Functional enrichment analysis … enrichment analysis identified about …

… properties, these relationships can be driven even by a very small pool of genes. To
address this, we decided to pursue our analyses by using network proximity and identified a …

… To understand the gene expression network in HF, we performed WGCNA to establish a
weighted gene co-expression network based on the expression profiles of the identified 926 …

… of Genes and Genomes enriched pathway analyses identified several terms and … Weighted
gene co-expression network analysis and Gene set enrichment analysis (GSEA) of all genes …

… Thus, in our study we employed a branch of network medicine, gene network analysis as
a tool to identify the most crucial genes and the miRNAs that regulate these genes at the post …

… pooling, and normalization procedure on them, an integrated network analysis was conducted
where gene co-expression modules were correlated with factors of interest. Modules of …

… , and network pharmacology. In this study, male specific pathogen-free C57BL/6 mice were
… Our results showed that the administration of BHID to mice with STZ-induced DN prevented …

… It is used to study the biomarkers of genes and proteins in human tissue or blood, and …
genes by case-control and case‐case comparisons and weighted gene co‐expression analysis …