Gene Co-expression Network …
Weighted gene co-expression network nalysis inbiomedicine research
... of network biology provides deeper insights into complex bio-system and reveals the modularity in tissue/cellular ...Weighted gene co-expression network analysis (WGCNA) tool can detect ...
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Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis
... expression data of GBM obtained from the TCGA database and found some prognosis sub-networks [36]. But, com- pared to the K-mean clustering method, WGCNA can con- struct a gene co-expression ...
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Identification of a disease-specific gene expression profile of children with acute asthma by weighted gene co-expression network analysis
... systemic co-expression analysis for this disease has not been undertaken to explain its ...constructed co-expression mod- ules via weighted gene co-expression ...
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RiceAntherNet: a gene co expression network for identifying anther and pollen development genes
... different expression patterns (Wittkop et al., 2010). Here we use co-expression analysis, followed by tight clustering, to generate an untargeted genome-wide gene co-expression ...
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A Weighted Gene Co-expression Network Analysis for Streptococcus sanguinis Microarray Experiments
... Gene co-expression networks are exploratory tools used to analyze system-level gene ...A gene co-expression network consists of gene expression ...
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Gene co-expression network analysis in Rhodobacter capsulatus and application to comparative expression analysis of Rhodobacter sphaeroides
... Weighted gene co-expression network analysis (WGCNA) has been widely used to analyze transcriptional profiles since its introduction in 2005 [14,15], and has proved to be a useful approach for ...
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Original Article Application of weighted gene co-expression network analysis to rheumatoid arthritis
... the network were identified via WGCNA. Then, Gene Ontology (GO) functional enrichment of genes in the most significant module was analyzed using Database for Annotation, Visualization, and Integrated ...
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Identification of biomarkers of chromophobe renal cell carcinoma by weighted gene co-expression network analysis
... construct co-expression modules by weighted gene co-expression network analysis and the key module were identified by calculating module-trait ...by co-expression ...
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Potential biomarkers of acute myocardial infarction based on weighted gene co-expression network analysis
... whole-genome gene expression analysis to identify outcome-related genes and dysregulated pathways remains ...Weighted gene co-expression network analysis (WGCNA) was performed to ...
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Analysis of a gene co-expression network establishes robust association between Col5a2 and ischemic heart disease
... strongly co-expressed. We identified a weighted gene co-expression network in MI by estimating similar gene expression patterns across mice- derived ...to network ...
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Weighted gene co expression network analysis to identify key modules and hub genes related to hyperlipidaemia
... Weighted gene co‑expression network analysis; HCH: Hypercho‑ lesterolemia; HTG: Hypertriglyceridemia; SQLE: Squalene epoxidase; SCD: Stearoyl‑CoA desaturase; DAVID: Database for Annotation, ...
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Arabidopsis gene co-expression network and its functional modules
... Based on the enrichment analysis of biological process and cellular component GO terms, pathway information and gene expression data, module 1 is likely to carry on the biological functi[r] ...
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A General Framework for Weighted Gene Co-expression Network Analysis
... Since the brown module was significantly (Pearson χ 2 p-value < 0.05) enriched with ‘prognostic’ genes, i.e. with genes whose univariate Cox p-value was smaller than 0.05), we focused our attention on the brown module ...
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Gene co-expression network connectivity is an important determinant of selective constraint
... to expression level (Fig 6A), with connectivity being correlated negatively with the rates of sequence evolution at both short (Fig 6B and 6C) and long (Fig 6D and 6E) ...parison, expression level exhibited ...
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The Structure of a Gene Co-Expression Network Reveals Biological Functions Underlying eQTLs
... whose expression level is partially controlled by eQTL, especially with regard to biological functions? Moreover, how are these genes related to a phenotype of interest? These issues are particularly difficult to ...
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Development and Application of Comparative Gene Co-expression Network Methods in Brachypodium distachyon
... edgewise co-expression values hold useful information, individual edge values can be compared among a great many networks without conducting individual pairwise ...of gene expression across ...
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Gene co-expression network analysis for identifying modules and functionally enriched pathways in SCA2
... ATXN2 gene under the control of the Purkinje cell targeted pcp2 ...and gene expression changes at 4 weeks. The observed gene expression changes were identified by relying on previously ...
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A new gene co-expression network analysis based on Core Structure Detection (CSD)
... the network. Building a graph to model the co-expression structure is not a trivial ...a co-expression measure or similarity measure between the ...the network have received a ...
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Identifying miRNA and gene modules of colon cancer associated with pathological stage by weighted gene co-expression network analysis
... the expression of stem cell markers of CRC ...similar expression pattern with type I collagen genes, which provided new insight into the implication of ECM in the progress of ...
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Frontotemporal dementia: insights into the biological underpinnings of disease through gene co-expression network analysis
... WGCNA network on the Colauntoni dataset by using the same method employed for the construction of the signed network from our frontal cortex microarray gene expression profiles with beta value ...
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