Weighted gene co-expression network analysis (WGNCA)

HW Haijing Wang
DL Daoxin Liu
PS Pengfei Song
FJ Feng Jiang
XC Xiangwen Chi
TZ Tongzuo Zhang
request Request a Protocol
ask Ask a question
Favorite

To perform unsigned WGCNA analysis, we used the R WGCNA package (https://cran.r-project.org/package=WGCNA) [72]. (Soft-power 5, mergeCutheight 0.25, minModuleSize 30). We identified 5 modules. Module-Trait relationships were calculated by Pearson correlation between the eigengene of each module and the specific phenotype data. Module eigengenes and orthogroup connectivity were calculated separately in each network using the moduleEigengenes() and intramodularConnectivity() functions in WGCNA, respectively.

Protein–protein interaction (PPI) networks can assist in the identification of key genes and pivotal gene modules involved in the response to hypoxia. Relations between genes were visualized by means of Cytoscape (v3.8.0) [73]; MCODE verified the key modules, and the hub gene were identified with cytoHubba. To explore the relationship among three transcription factors (TFs), we used ChEA3 [74]. ChEA3 is a database that performs TFs enrichment analysis based on ChIP-seq experiments.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A