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WGCNA (version 0.98)

Weighted Gene Co-Expression Network Analysis

Description

Functions necessary to perform Weighted Gene Co-Expression Network Analysis

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Version

Install

install.packages('WGCNA')

Monthly Downloads

16,020

Version

0.98

License

GPL (>= 2)

Maintainer

Peter Langfelder

Last Published

November 13th, 2010

Functions in WGCNA (0.98)

consensusMEDissimilarity

Consensus dissimilarity of module eigengenes.
TOMsimilarityFromExpr

Topological overlap matrix
adjacency

Calculate network adjacency
GOenrichmentAnalysis

Calculation of GO enrichment (experimental)
blockwiseConsensusModules

Find consensus modules across several datasets.
alignExpr

Align expression data with given vector
collapseRows

Select one representative row per group
TOMsimilarity

Topological overlap matrix similarity and dissimilarity
checkSets

Check structure and retrieve sizes of a group of datasets.
addTraitToMEs

Add trait information to multi-set module eigengene structure
labels2colors

Convert numerical labels to colors.
rgcolors.func

Red and Green Color Specification
cor

Fast calculations of Pearson correlation.
matchLabels

Relabel module labels to best match the given reference labels
collectGarbage

Iterative garbage collection.
consensusOrderMEs

Put close eigenvectors next to each other in several sets.
dynamicMergeCut

Threshold for module merging
multiSetMEs

Calculate module eigengenes.
corPvalueStudent

Student asymptotic p-value for correlation
automaticNetworkScreening

One-step automatic network gene screening
metaZfunction

Meta-analysis Z statistic
vectorTOM

Topological overlap for a subset of the whole set of genes
fundamentalNetworkConcepts

Calculation of fundamental network concepts from an adjacency matrix.
bicor

Biweight Midcorrelation
modulePreservation

Calculation of module preservation statistics
simulateDatExpr5Modules

Simplified simulation of expression data
correlationPreservation

Preservation of eigengene correlations
goodSamplesGenes

Iterative filtering of samples and genes with too many missing entries
greenBlackRed

Green-black-red color sequence
randIndex

Rand index of two partitions
consensusProjectiveKMeans

Consensus projective K-means (pre-)clustering of expression data
exportNetworkToCytoscape

Export network to Cytoscape
goodGenesMS

Filter genes with too many missing entries across multiple sets
colQuantileC

Fast colunm-wise quantile of a matrix.
clusterCoef

Clustering coefficient calculation
goodSamplesGenesMS

Iterative filtering of samples and genes with too many missing entries across multiple data sets
verboseScatterplot

Scatterplot annotated by regression line and p-value
networkScreening

Identification of genes related to a trait
mergeCloseModules

Merge close modules in gene expression data
labelPoints

Label scatterplot points
propVarExplained

Proportion of variance explained by eigengenes.
corAndPvalue

Calculation of correlations and associated p-values
networkConcepts

Calculations of network concepts
signumAdjacencyFunction

Hard-thresholding adjacency function
exportNetworkToVisANT

Export network data in format readable by VisANT
standardScreeningBinaryTrait

Standard screening for binatry traits
pickSoftThreshold

Analysis of scale free topology for soft-thresholding
AUV2predicted

Prediction of Weighted Mutual Information Adjacency Matrix by Correlation
relativeCorPredictionSuccess

Compare prediction success
goodSamplesMS

Filter samples with too many missing entries across multiple data sets
fixDataStructure

Put single-set data into a form useful for multiset calculations.
simulateModule

Simulate a gene co-expression module
plot.mat

Red and Green Color Image of Data Matrix
verboseBarplot

Barplot with error bars, annotated by Kruskal-Wallis or ANOVA p-value
moduleNumber

Fixed-height cut of a dendrogram.
hubGeneSignificance

Hubgene significance
Inline display of progress

Inline display of progress
moduleEigengenes

Calculate module eigengenes.
plotColorUnderTree

Plot color rows under a dendrogram
simulateEigengeneNetwork

Simulate eigengene network from a causal model
displayColors

Show colors used to label modules
moduleColor.getMEprefix

Get the prefix used to label module eigengenes.
goodGenes

Filter genes with too many missing entries
cutreeStatic

Constant-height tree cut
addGrid

Add grid lines to an existing plot.
keepCommonProbes

Keep probes that are shared among given data sets
conformityBasedNetworkConcepts

Calculation of conformity-based network concepts.
scaleFreeFitIndex

Calculation of fitting statistics for evaluating scale free topology fit.
orderMEs

Put close eigenvectors next to each other
GTOMdist

Generalized Topological Overlap Measure
labeledBarplot

Barplot with text or color labels.
WGCNA-package

Weighted Gene Co-Expression Network Analysis
preservationNetworkConnectivity

Network preservation calculations
pickHardThreshold

Analysis of scale free topology for hard-thresholding.
nearestNeighborConnectivity

Connectivity to a constant number of nearest neighbors
blockwiseModules

Automatic network construction and module detection
numbers2colors

Color representation for a numeric variable
normalizeLabels

Transform numerical labels into normal order.
plotNetworkHeatmap

Network heatmap plot
simulateDatExpr

Simulation of expression data
overlapTable

Calculate overlap of modules
simulateSmallLayer

Simulate small modules
labeledHeatmap

Produce a labeled heatmap plot
addErrorBars

Add error bars to a barplot.
addGuideLines

Add vertical ``guide lines'' to a dendrogram plot
goodSamples

Filter samples with too many missing entries
automaticNetworkScreeningGS

One-step automatic network gene screening with external gene significance
recutBlockwiseTrees

Repeat blockwise module detection from pre-calculated data
stat.diag.da

Diagonal Discriminant Analysis
greenWhiteRed

Green-white-red color sequence
cutreeStaticColor

Constant height tree cut using color labels
stat.bwss

Between and Within Group Sum of Squares Calculation
bicorAndPvalue

Calculation of biweight midcorrelations and associated p-values
networkScreeningGS

Network gene screening with an external gene significance measure
nearestNeighborConnectivityMS

Connectivity to a constant number of nearest neighbors across multiple data sets
signedKME

Signed eigengene-based connectivity
intramodularConnectivity

Calculation of intramodular connectivity
plotDendroAndColors

Dendrogram plot with color annotation of objects
pquantile

Parallel quantile, median, mean
removeGreyME

Removes the grey eigengene from a given collection of eigengenes.
na

Basic Statistical Functions for Handling Missing Values
projectiveKMeans

Projective K-means (pre-)clustering of expression data
stdErr

Standard error of the mean of a given vector.
nPresent

Number of present data entries.
unsignedAdjacency

Calculation of unsigned adjacency
scaleFreePlot

Visual check of scale-free topology
verboseBoxplot

Boxplot annotated by a Kruskal-Wallis p-value
spaste

Space-less paste
redWhiteGreen

Red-white-green color sequence
sigmoidAdjacencyFunction

Sigmoid-type adacency function.
vectorizeMatrix

Turn a matrix into a vector of non-redundant components
standardScreeningCensoredTime

Standard Screening with regard to a Censored Time Variable
softConnectivity

Calculates connectivity of a weighted network.
standardScreeningNumericTrait

Standard screening for numeric traits
simulateMultiExpr

Simulate multi-set expression data
sizeGrWindow

Opens a graphics window with specified dimensions
plotMEpairs

Pairwise scatterplots of eigengenes
plotEigengeneNetworks

Eigengene network plot
standardColors

Colors this library uses for labeling modules.
subsetTOM

Topological overlap for a subset of a whole set of genes
plotModuleSignificance

Barplot of module significance
setCorrelationPreservation

Summary correlation preservation measure
plotClusterTreeSamples

Annotated clustering dendrogram of microarray samples
TOMplot

Graphical representation of the Topological Overlap Matrix
recutConsensusTrees

Repeat blockwise consensus module detection from pre-calculated data
checkAdjMat

Check adjacency matrix
corPvalueFisher

Fisher's asymptotic p-value for correlation
mutualInfoAdjacency

Calculate weighted adjacency matrices based on mutual information
plot.cor

Red and Green Color Image of Correlation Matrix
rankPvalue

Estimate the p-value for ranking consistently high (or low) on multiple lists
corPredictionSuccess

Qunatification of success of gene screening