… co-expression. Because shared expression patterns are thought to reflect shared function,
co-expression networks describe functional relationships between genes, including co-…

… genes in the asthma development, while the role of WGCNA is to set up gene co-expression …
error rate between the CV predictions and the observed values, were used to evaluate the …

… Also, we examined the co-expression graph model and effects of each gene on the
accuracy of cancer type prediction using in silico gene perturbation, where we set one …

… of hepatocarcinogenesis and weighted gene co‑expression network analysis, hub genes
associated with the progression of HCC were identified using the gene expression profiles of …

… (D) Dendrogram of genes clustered with dissimilarity based on topological overlap; each …
of genes in the constructed gene co-expression network. Gray indicated that genes were not …

… inflammatory diseases or immune responses 22,34 . Therefore, gene co-expression network
… by PPI data, functional enrichment analysis and target prediction analysis. Moreover, only …

… genes were randomly selected for qPCR validation of the RNA-Seq data. Numerous genes
encompassed in disease … the weighted gene co-expression network and 11 hub genes were …

… For network construction, the absolute value of the correlation of paired miRNAs was used
to define the gene co-expression network. Subsequently, the gene expression similarity …

… We downloaded gene expression profile of mRNA and related clinical data of … gene co-expression
network analysis (WGCNA) was used to identify the relationships between gene …

… bioinformatics analysis is lacking. Citation6 Weighted gene co-expression network analysis
(… targets by constructing a scale-free gene co-expression network. The tool has been widely …