… However, gene co-expression analysis is complex and may … how genes are interacting
with one another and to predict … genes [[5], [6], [7], [8], [9]], and functional classification of …

… We aim to establishing an effective and reliable model to predict the outcome … gene co-expression
network analysis (WGCNA) is an R package for weighted correlation network analysis …

… ) that could truly predict the progression and prognosis … gene co-expression modules that
are correlated with the progression of PCa. After a range of rigorous screening, 41 hub genes (…

… of major depressive disorder (MDD) is still … analyze its molecular mechanisms and develop
a gene classifier to improve diagnostic accuracy. We extracted differentially expressed genes …

… that integrates gene co-expression network construction … analysis of gene co-expression
networks. Thanks to biological and topological information as well as differential co-expression, …

… In the present study, weighted gene co‑expression network analysis (WGCNA) was … and
the Wnt pathway (43,44), and these interactions were also predicted by GO enrichment of the …

… To verify the value of predicting the prognosis of hub genes, Kaplan–Meier survival …
technology, we identified three gene co-expression modules associated with the recurrence state …

… In systems biology studies, weighted gene co-expression network analysis (WGCNA)
has been … of a network comprising of hub genes, the predicted TFs, and miRNA molecules. …

… used gene expression data to predict … In summary, our proposed method aimed to conduct
a prognostic study of Alzheimer’s disease and used the Gene co-expression Network analysis …

… Therefore, we took the absolute value of linear coefficients during gene co-expression … and
other linear coefficients to predict pairwise biological dependence between genes based on …