Gene co-expression networks (GCNs) are transcript–transcript association networks, generally reported as undirected graphs, where genes are connected when an appreciable co-expression association between them exists. From:Encyclopedia of Bioinformatics and Computational Biology,2019 ...
Gene co-expression networks (GCNs) are a systems biology method for capturing transcriptional patterns and predicting gene interactions into functional and regulatory relationships. Here, we describe the procedures and tools used to construct and analyze GCN and investigate the integration of ...
By using data from whole transcriptome sequencing, it is possible to build gene coexpression networks (GCNs) and study the degrees of transcriptional connectivity at a broad scale [32]. GCNs are biologically interesting as they reveal clusters of genes that are expressed in symphony and thus may ...
This chapter contains sections titled: IntroductionBackground Construction of GCNsIntegration of GCNs with Other DataAnalysis of GCNsGCNs for the Study of CancerConclusions Referencesdoi:10.1002/9783527638079.ch11Matthew T. WeirauchWiley‐VCH Verlag GmbH & Co. KGaAWeirauch MT. Gene coexpression networks ...
Gene co-expression networks (GCNs) can be used to determine gene regulation and attribute gene function to biological processes. Different high throughput technologies, including one and two-channel microarrays and RNA-sequencing, allow evaluating t
Gene co-expression networks GCN (also known as relevance networks1) are mathematical graphs that are increasingly used to model the co-expression relationships between genes. Within a GCN, genes (or gene products) serve as nodes and edges exist between two genes when their expression profiles are...
The pipeline contains three steps: (1) Determining the cutoff values, (2) constructing eight GCNs for different coexpression types, and (3) determining time-ordered levels for nodes in a GCN of interest. Prepare the gene expression data ...
Gene co-expression analysis reveals conserved and distinct gene networks between resistant and susceptibleLens ervoideschallenged by hemibiotrophic and necrotrophic pathogens ArticleOpen access23 October 2024 A time-course transcriptomic analysis reveals the key responses of a resistant rice cultivar to brown...
Conclusions: Integration of citrus gene co-expression networks, functional enrichment analysis and gene expression information provide opportunities to infer gene function in citrus. We present a publicly accessible tool, Network Inference for Citrus Co-Expression (NICCE, http://citrus.adelaide.edu.au/...
Gene co-expression networks (GCNs) are graphic representations where nodes symbolize genes while edges reconstruct the coordinated transcription of genes to certain external stimuli. In this paper, an enhanced novel methodology for construction and comparison of GCNs is proposed. Microarray datasets from ...