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WGCNA: Weighted Correlation Network Analysis
Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <<a href="https://doi.org/10.2202%2F1544-6115.1128" target="_top">doi:10.2202/1544-6115.1128</a>> and Langfelder and Horvath (2008) <<a href="https://doi.org/10.1186%2F1471-2105-9-559" target="_top">doi:10.1186/1471-2105-9-559</a>>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
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WGCNA: Weighted Correlation Network Analysis
Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <<a href="https://doi.org/10.2202%2F1544-6115.1128" target="_top">doi:10.2202/1544-6115.1128</a>> and Langfelder and Horvath (2008) <<a href="https://doi.org/10.1186%2F1471-2105-9-559" target="_top">doi:10.1186/1471-2105-9-559</a>>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
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WGCNA: Weighted Correlation Network Analysis
Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <<a href="https://doi.org/10.2202%2F1544-6115.1128" target="_top">doi:10.2202/1544-6115.1128</a>> and Langfelder and Horvath (2008) <<a href="https://doi.org/10.1186%2F1471-2105-9-559" target="_top">doi:10.1186/1471-2105-9-559</a>>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
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16- titleCRAN: Package WGCNA
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- citation_titleWeighted Correlation Network Analysis [R package WGCNA version 1.73]
- citation_author1Peter Langfelder
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5- og:titleWGCNA: Weighted Correlation Network Analysis
- og:descriptionFunctions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <<a href="https://doi.org/10.2202%2F1544-6115.1128" target="_top">doi:10.2202/1544-6115.1128</a>> and Langfelder and Horvath (2008) <<a href="https://doi.org/10.1186%2F1471-2105-9-559" target="_top">doi:10.1186/1471-2105-9-559</a>>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
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- og:urlhttps://CRAN.R-project.org/package=WGCNA
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42- https://CRAN.R-project.org/package=WGCNA
- https://CRAN.R-project.org/src/contrib/Archive/WGCNA
- https://doi.org/10.1186%2F1471-2105-9-559
- https://doi.org/10.2202%2F1544-6115.1128
- https://doi.org/10.32614/CRAN.package.WGCNA