article Open AccessTop 1% cited
WGCNA: an R package for weighted correlation network analysis
BMC Bioinformatics · 2008 · Vol. 9(1) · pp. 559–559
Peter Langfelder✉(University of California, Los Angeles)Steve Horvath(University of California, Los Angeles)
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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