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WGCNA: an R package for weighted correlation network analysis

BMC Bioinformatics · 2008 · Vol. 9(1) · pp. 559–559
Peter LangfelderSteve Horvath

Abstract

The WGCNA package provides R functions for weighted correlation network analysis, e.g. co-expression network analysis of gene expression data. The R package along with its source code and additional material are freely available at http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA.

Bioinformatics and Genomic NetworksGene expression and cancer classificationGene Regulatory Network AnalysisGene co-expression networkR packageComputer scienceSoftwareData miningCorrelationNetwork analysisComputational biologyDNA microarrayGene regulatory network

MeSH terms

AlgorithmsAnimalsComputer GraphicsComputing MethodologiesHumansPattern Recognition, AutomatedProgramming LanguagesSoftwareComputational BiologyOligonucleotide Array Sequence AnalysisGene Expression ProfilingDatabases, GeneticSystems BiologyMice
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References
Geometric Interpretation of Gene Coexpression Network Analysis
PLoS Computational Biology · 2008 · 898 citations
Missing value estimation methods for DNA microarrays
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Nature · 1998 · 42,581 citations
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Choice Reviews Online · 1991 · 10,616 citations
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