… cycle genes are proved as potential markers that could predict … between different gene
sets or between gene sets and … gene co-expression network of correlation patterns among …

… Using 28 identical samples, in the present study, we performed weighted gene co-expression
network analysis with drip loss and drip loss-related traits, including water-holding capacity…

… gene co-expression network to identify the hub genes closely … function genes, gene set
enrichment analysis (GSEA) on hub … genes, we conducted GSEA, which is widely used to predict …

… The topological analysis of the weighted gene co-expression … gene co-expression network
indicates bridge genes … dendrogram of genes in the weighted gene co-expression network (…

… Gene co-expression network is of biological importance because the coordinated … of
network-based disease-gene-prediction algorithms, which are classified by their approaches to …

… gene co-expression networks to capture coherent biological processes that covary across
samples 22 and hence provide an unbiased functional … 53 functional categories capturing a …

… and predicting BRCA prognosis. BRCA is multifactorial disease most caused by genetic …
We summarized the gene co-expression by eigengenes and calculated the correlation of …

… In [31], the proposed approach Disjunctive Graph Integration (DiGI) merges gene co-expression
network, pathways, functional links, phenotype similarity database, cofunctional network …

… weighted gene co-expression network analysis (WGCNA) to identify the co-expression gene
module … prediction model, which had a better prediction performance than other models. In …

… analysis focused on co-expression among the 1414 genes with variance greater than one
in the mixed tumor samples. We identified a subset of these genes … , gene co-expression in …