… Consequently, even if a phenotype class is defined based on an anatomical location or a
function, this anatomical location or function class will not co-occur with a gene or disease that …

… adopts the idea of the copula to impose gene co-expression, while preserving the highlights
of … We then assess the prediction accuracy (AUC scores) of connections for each imputation …

… transcripts or genes. Here, we introduce hdWGCNA, a comprehensive methodological
framework for the inference, analysis, and interpretation of gene co-expression networks in high-…

… by constructing a weighted gene co-expression network. … of genes across all samples, and
the picks of threshold function … for GO and KEGG functional classification was both defined by …

… We projected gene co-expression modules from two bulk RNA-seq studies of AD (13, 49)
into a published snRNA-seq study of AD to assess their expression patterns within various cell …

… about its function, a fact that gene co-expression networks aim to … , which uses node degree
alone to predict module … fall into two major functional categories: those involved in gene …

… by weighted gene co-expression network analysis (WGCNA). Subsequently, gene function
… to verify the hub gene, there is no further evidence to verify our prediction results. Our follow-…

… modules in single-cell transcriptome analysis has the … predicting gene co-expression
module(s) associated with rare cell type(s) owing to its ability to capture local gene co-expression …

… gene co-expression network analysis (WGCNA), which identified 5010 DEGs in 15 co-expressed
gene … The present study aimed to explore gene co-expression networks associated …

… GENIE3 decomposes the prediction of a gene network between p genes into p different …
gene co-expression strength and use it to improve the inference of sparse gene co-expression …