Keyword Analysis & Research: the wgcna is

nature.com

https://www.nature.com/articles/s41598-017-18705-z

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bioinformaticsworkbook.org

https://bioinformaticsworkbook.org/tutorials/wgcna.html

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wikipedia.org

https://en.wikipedia.org/wiki/Weighted_correlation_network_analysis

Weighted correlation network analysis, also known as weighted gene co-expression network analysis (WGCNA), is a widely used data mining method especially for studying biological networks based on pairwise correlations between variables. While it can be applied to most high-dimensional data … See more

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bioinformaticsworkbook.org

https://bioinformaticsworkbook.org/tutorials/wgcna.html

WEBOverview. The WGCNA pipeline is expecting an input matrix of RNA Sequence counts. Usually we need to rotate (transpose) the input data so rows = treatments and columns = gene probes. The output of WGCNA …

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biomedcentral.com

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-559

Published: Dec 29, 2008

Published: Dec 29, 2008

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biomedcentral.com

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-559

Functions for network construction. A network is fully specified by its adjacency matrix a, a … Functions for module detection. Once the network has been constructed, module detection … Functions for module and gene selection. Finding biologically or clinically significant … Functions for studying topological properties. Many topological properties of networks can … Functions for simulating microarray data with modular structure. Simple yet sufficiently …

Functions for network construction. A network is fully specified by its adjacency matrix a, a …

Functions for module detection. Once the network has been constructed, module detection …

Functions for module and gene selection. Finding biologically or clinically significant …

Functions for studying topological properties. Many topological properties of networks can …

Functions for simulating microarray data with modular structure. Simple yet sufficiently …

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nature.com

https://www.nature.com/articles/s41598-017-18705-z

WEBJan 12, 2018 · The network approach (e.g., weighted gene co-expression network analysis (WGCNA)) is a powerful tool. However, genomic data usually contain substantial batch … Author: Jianqiang Li, Doudou Zhou, Weiliang Qiu, Yuliang Shi, Ji-Jiang Yang, Shi Chen, Qing Wang, Hui Pan Publish Year: 2018

Author: Jianqiang Li, Doudou Zhou, Weiliang Qiu, Yuliang Shi, Ji-Jiang Yang, Shi Chen, Qing Wang, Hui Pan

Publish Year: 2018

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nature.com

https://www.nature.com/articles/s41598-021-86207-0

WEBMar 23, 2021 · Weighted gene co-expression network analysis (WGCNA) is one of the most effective methods of gene co-expression network analysis. Transcriptome data from … Author: Peng-Fei Zheng, Lu-Zhu Chen, Yao-Zong Guan, Peng Liu Publish Year: 2021

Author: Peng-Fei Zheng, Lu-Zhu Chen, Yao-Zong Guan, Peng Liu

Publish Year: 2021

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rbasics.org

https://rbasics.org/guides/how-to-use-the-wgcna-package-in-r/

WEBThe WGCNA package is a comprehensive resource for weighted correlation network analysis, commonly used for high-dimensional genomic data. It provides methods for …

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sib.swiss

https://edu.sib.swiss/pluginfile.php/158/course/section/65/_01_SIB2016_wgcna.pdf

WEBWGCNA is a guilt-by-association approach: Encourages hypotheses about genes based on their close network neighbors. Workflow. Pathway analysis. Gene expression data. …

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oup.com

https://academic.oup.com/bioinformatics/article/39/7/btad415/7218311

WEBJul 3, 2023 · Weighted gene co-expression network analysis (WGCNA) is a widely used method for describing the correlation patterns of genes across a large set of samples ( …

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