… method to functional relationships that are predicted on the basis of computational analysis
of … detection in GCNs is weighted gene co-expression network analysis (WGCNA). Although …

… Before constructing the weighted gene co-expression modules, we selected an appropriate
power value for relative, which mainly balanced the scale independence and means …

… In gene co-expression network analysis PLAU and PLAUR … , potential gene functions and
pathways were predicted … , network modules, among other functional categories. In the current …

… a gene co-expression network to predict the hub genes … the regulatory network of hub genes
and transcription factors (… were analyzed via weighted gene co-expression network analysis …

… ORA detected the enriched pathways for the key co-expression … regression analysis
was employed to build the prediction … We identified the significantly correlated gene co-expression …

… The identification of key genes and pathways in this disease … applied weighted gene co-expression
network analysis and … the importance of genes in the model predictions. We applied …

… genetic regulation of gene co-expression by conducting the largest-to-date co-eQTL meta-analysis
in … medicine through better genetic risk prediction for diseases and personalized drug …

… to predict gene function (Lan et al., 2006). In the present study, weighted gene co-expression
network analysis (WGCNA) was used to build … Enrichment analysis of functional categories …

… Afterward, we analyzed the expression difference of TRRS and verified its ability to predict
… A total of 4,703 genes were applied to set up a weighted co-expression network based on …

… network to predict the functions of isoforms from their genomic sequences and then refines
the prediction using a conditional random field based on isoform coexpression relationship. …