We offer not only introductory tutorials that That illustrate various aspects of WGCNA is available. Readers wishing to learn about the theory and published applications of WGCNA are invited to
Step instructions such that even complete novice users should be able to get started in R immediately. The package described here is an add-on for the statistical language and environment R (free Getting started with R and Weighted Gene Co-expression Network Analysis Was motivated by gene expression data, the underlying data miningĪpproach can be applied to a variety of different settings.
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Along with the R package weĪlso present R software tutorials. Topological properties, data simulation, visualization, and The package includes functions for networkĬonstruction, module detection, gene selection, calculations of The WGCNA R software package is a comprehensive collection of Rįunctions for performing various aspects of weighted correlation Software implementation and an accompanying tutorial. Need to provide a user-friendly, comprehensive, and consistent The correlation network methodology have been described in separate publications, there is a Mouse genetics, yeast genetics, and analysis of brain imaging data. Successfully applied in various biological contexts, e.g. Gene screening methods that can be used to identify candidateīiomarkers or therapeutic targets.
Correlation networks facilitate network based (using eigengene network methodology), and for calculating module Genes, for summarizing such clusters using the moduleĮigengene or an intramodular hub gene, for relating modules to one another and to external sample traits (WGCNA) can be used for finding clusters (modules) of highly correlated Method for describing the correlation patterns among genesĪcross microarray samples. Weighted gene co-expression network analysis is a systems biology FAQ: Problems installing or using the packageĬorrelation networks are increasingly being used inīioinformatics applications.SHorvath (at) mednet (dot) ucla (dot) edu Peter (dot) Langfelder (at) gmail (dot) com, Semel Institute for Neuroscience and Human Behavior, UC Los Angeles (PL),ĭept. WGCNA: an R package for weighted correlation network analysis
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