… WGCNA has been used to analyze gene expression … R package that summarizes and
standardizes methods and functions. To address this need, we introduce the WGCNA R package …

… We used the WGCNA R package to construct the coexpression network [8]. First, samples
were clustered to assess the presence of any obvious outliers. Second, the automatic network …

… TCGA database for WGCNA analysis. After the processing of edgeR package based on R
Studio, we found there were a total of 2853 differentially expressed genes (DEGs) for further …

… A total of 3301 differential genes were identified between the tumor and normal samples
using the DESeq2 R package, at thresholds of |log2FC| > 2 and adj-p < 1e-3. Differentially …

… the function softConnectivity from package WGCNA, with the “… the pickSoftThreshold function
of WGCNA. This function provides … implemented in the R package WGCNA. Cluster analysis …

… melanoma were used to construct the co-expression module by WGCNA package tool. The
flashClust tools package was used to perform the cluster analysis on these samples and the …

… , an R analytical package named as weighted gene coexpression network analysis (WGCNA)
was … for applying the WGCNA approach in analyzing proteomic and metabolomic datasets. …

… Firstly, we evaluated the 3137 variant genes to test their availability and used the R package
termed “WGCNA” to construct a gene co-expression network. Subsequently, we constructed …

… From thousands of genes, the interesting gene modules can be identified by WGCNA, and
then, the … WGCNA is a freely accessible R package for the construction of weighted gene co-…

… We used the weighted gene co-expression network analysis (WGCNA… package “pROC”.
Additionally, we visualized Pearson’s correlation among the 13 feature genes by the R package …