Gene co-expression networks
WebApr 8, 2024 · Weighted Gene Co-Expression Network Analysis (WGCNA) WGCNA was performed in R on the basis of all the genes and samples that passed QC criteria … WebDec 14, 2024 · Using the gene expression profiles of 1,038 lung tissue samples, we performed a weighted gene correlation network analysis (WGCNA) to identify modules …
Gene co-expression networks
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WebApr 28, 2024 · Gene expression data (array or RNA-seq) Measure co-expression with a correlation coefficient The correlation matrix is either dichotomized to arrive at an adjacency matrix -> unweighted network … WebApr 10, 2024 · We used a novel combination of weighted gene co-expression network analysis (WGCNA) and upstream regulator and gene ontology analyses of clinically annotated transcriptomes to identify the genes. The cyan module (M14) had the strongest positive correlation (0.81, p = 4 × 10 −15) with mCRPC bone metastasis. It was …
WebWe propose GWENA (Gene Whole co-Expression Network Analysis) , a tool designed to perform gene co-expression network analysis and explore the results in a single … WebObjective: The primary study aim was to identify long non-coding RNA (lncRNA) abnormalities associated with ultra-high-risk (UHR) for psychosis based on a weighted gene co-expression network analysis.Methods: UHR patients were screened by the structured interview for prodromal syndromes (SIPS). We performed a WGCNA analysis on lncRNA …
WebApr 4, 2024 · Identification of key genes and immune infiltration based on weighted gene co-expression network analysis in vestibular schwannoma. Yanpeng Fu, MD, a … WebWeighted correlation network analysis, also known as weighted gene co-expression network analysis (WGCNA), is a widely used data mining method especially for studying …
WebApr 1, 2024 · Co-expression network analysis Weighted gene co-expression network analysis was carried out based on pairwise correlations between the quantile-normalized …
WebApr 13, 2024 · The effect of regulatory variants and the interaction of genes can be described by co-expression networks, which are known to contain a small number of … evergreen scale corrugated metal sidingWebThe co-expression network was built based on 4187 gene expression profiles by R package “WGCNA”. Thereafter, the mean Pearson’s correlation and linkage coefficients … evergreens at smith run fredericksburgWebMethods: This study performed a weighted gene co-expression network analysis to identify the peri-implantitis related gene network and conducted a functional enrichment analysis of the gene network. Thereafter, the candidate hub genes were selected by constructing a protein-protein interaction network and drawing an upset plot. evergreens at smith run senior housingWebCo-Expression Network Analysis Utilizing WGCNA. The WGCNA analysis was carried out via the “WGCNA” package in “R”, to generate a co-expression network and to disclose the key modules which were highly associated with clinical features of muscular dystrophy. 10 First, a soft threshold ranging from 1 to 30 was determined. This was the ... brown body and red eyes fruit flyWebApr 4, 2024 · Identification of key genes and immune infiltration based on weighted gene co-expression network analysis in vestibular schwannoma. Yanpeng Fu, MD, a Yaqiong Zhu, MD, a Liqing Guo, MD, a and Yuehui Liu, MD a, * ... First, we applied WGCNA to the gene expression profiles GSE141801 and GSE54934 and identified 13 modules on the … brown bomber jacket fleeceWebWe found that the third and fourth weeks are the key period of plant height development of the selected cultivars. A total of 4563 and 10507 differentially expressed genes (DEGs) … evergreens at smith run reviewsWebThe co-expression network was built based on 4187 gene expression profiles by R package “WGCNA”. Thereafter, the mean Pearson’s correlation and linkage coefficients were determined for clustering 1092 samples, while genes showing close expression profiles were clustered for forming a tree branch, which stood for one gene module. evergreen sawmill fire idaho