… to achieve a higher resolution analysis that can better predict the most important functional
… In this study, we integrated a meta-analysis with the gene co-expression network analysis …

… , and thus, the weighted gene co-expression network analysis (WGCNA) was developed. …
higher-resolution analysis, which can more accurately predict hub genes in a disease, thus, …

… WGCNA (Weighted gene co-expression network analysis) is a … core genes are effective
in classifying and predicting samples from different stages, we used these 81 genes to classify …

… disease and trait pleiotropy. For this, we develop a framework to detect local gene co-expression …
Predicting local gene co-expression through genomic distance alone provides an AUC …

… early detection of diseases, as it can identify subtle trends or … co-expression analysis and
data fusion methods akin to techniques such as weighted gene co-expression network analysis …

… for DN disease progression by weighted gene co-expression network analysis (WGCNA).
From the … Next, we used three online miRNA databases to predict target miRNAs of hub genes. …

… human diseases, especially cancer [11–13]. Weighted gene co-expression network analysis
(… Consistent with the predicted functional enrichment of our CRC DEGs genes, the cell cycle …

… gene co-expression analysis (WGCNA) (11), which has since been used as a powerful
data-driven tool in the study of many diseases. … of tumor, predict prognosis and establish new …

… - which uses co-expression of a single gene with genes in functional groups to identify which
… Gene co-expression analysis for functional classification and gene–disease predictions. …

… gene co-expression network analysis - ScienceDirect … which promotes atherosclerosis and
cardiovascular diseases. … the potential genetic biomarkers for FH by studying the global gene …