WGCNA: Weighted Correlation Network Analysis

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. 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.

AuthorPeter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Date of publication2016-03-15 00:24:08
MaintainerPeter Langfelder <Peter.Langfelder@gmail.com>
LicenseGPL (>= 2)
Version1.51
http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/

View on CRAN

Man pages

accuracyMeasures: Accuracy measures for a 2x2 confusion matrix or for vectors...

addErrorBars: Add error bars to a barplot.

addGrid: Add grid lines to an existing plot.

addGuideLines: Add vertical "guide lines" to a dendrogram plot

addTraitToMEs: Add trait information to multi-set module eigengene structure

adjacency: Calculate network adjacency

adjacency.polyReg: Adjacency matrix based on polynomial regression

adjacency.splineReg: Calculate network adjacency based on natural cubic spline...

AFcorMI: Prediction of Weighted Mutual Information Adjacency Matrix by...

alignExpr: Align expression data with given vector

allocateJobs: Divide tasks among workers

allowWGCNAThreads: Allow and disable multi-threading for certain WGCNA...

automaticNetworkScreening: One-step automatic network gene screening

automaticNetworkScreeningGS: One-step automatic network gene screening with external gene...

bicor: Biweight Midcorrelation

bicorAndPvalue: Calculation of biweight midcorrelations and associated...

bicovWeights: Weights used in biweight midcovariance

blockSize: Attempt to calculate an appropriate block size to maximize...

blockwiseConsensusModules: Find consensus modules across several datasets.

blockwiseIndividualTOMs: Calculation of block-wise topological overlaps

blockwiseModules: Automatic network construction and module detection

BloodLists: Blood Cell Types with Corresponding Gene Markers

blueWhiteRed: Blue-white-red color sequence

BrainLists: Brain-Related Categories with Corresponding Gene Markers

BrainRegionMarkers: Gene Markers for Regions of the Human Brain

branchEigengeneDissim: Branch dissimilarity based on eigennodes (eigengenes).

branchSplit: Branch split.

branchSplit.dissim: Branch split based on dissimilarity.

branchSplitFromStabilityLabels: Branch split (dissimilarity) statistic derived from labels...

checkAdjMat: Check adjacency matrix

checkSets: Check structure and retrieve sizes of a group of datasets.

chooseOneHubInEachModule: Chooses a single hub gene in each module

chooseTopHubInEachModule: Chooses the top hub gene in each module

clusterCoef: Clustering coefficient calculation

coClustering: Co-clustering measure of cluster preservation between two...

coClustering.permutationTest: Permutation test for co-clustering

collapseRows: Select one representative row per group

collapseRowsUsingKME: Selects one representative row per group based on kME

collectGarbage: Iterative garbage collection.

colQuantileC: Fast colunm- and row-wise quantile of a matrix.

conformityBasedNetworkConcepts: Calculation of conformity-based network concepts.

conformityDecomposition: Conformity and module based decomposition of a network...

consensusDissTOMandTree: Consensus clustering based on topological overlap and...

consensusKME: Calculate consensus kME (eigengene-based connectivities)...

consensusMEDissimilarity: Consensus dissimilarity of module eigengenes.

consensusOrderMEs: Put close eigenvectors next to each other in several sets.

consensusProjectiveKMeans: Consensus projective K-means (pre-)clustering of expression...

consensusRepresentatives: Consensus selection of group representatives

consensusTOM: Consensus network (topological overlap).

cor: Fast calculations of Pearson correlation.

corAndPvalue: Calculation of correlations and associated p-values

corPredictionSuccess: Qunatification of success of gene screening

corPvalueFisher: Fisher's asymptotic p-value for correlation

corPvalueStudent: Student asymptotic p-value for correlation

correlationPreservation: Preservation of eigengene correlations

coxRegressionResiduals: Deviance- and martingale residuals from a Cox regression...

cutreeStatic: Constant-height tree cut

cutreeStaticColor: Constant height tree cut using color labels

displayColors: Show colors used to label modules

dynamicMergeCut: Threshold for module merging

empiricalBayesLM: Empirical Bayes-moderated adjustment for unwanted covariates

exportNetworkToCytoscape: Export network to Cytoscape

exportNetworkToVisANT: Export network data in format readable by VisANT

fixDataStructure: Put single-set data into a form useful for multiset...

formatLabels: Break long character strings into multiple lines

fundamentalNetworkConcepts: Calculation of fundamental network concepts from an adjacency...

GOenrichmentAnalysis: Calculation of GO enrichment (experimental)

goodGenes: Filter genes with too many missing entries

goodGenesMS: Filter genes with too many missing entries across multiple...

goodSamples: Filter samples with too many missing entries

goodSamplesGenes: Iterative filtering of samples and genes with too many...

goodSamplesGenesMS: Iterative filtering of samples and genes with too many...

goodSamplesMS: Filter samples with too many missing entries across multiple...

greenBlackRed: Green-black-red color sequence

greenWhiteRed: Green-white-red color sequence

GTOMdist: Generalized Topological Overlap Measure

hubGeneSignificance: Hubgene significance

ImmunePathwayLists: Immune Pathways with Corresponding Gene Markers

initProgInd: Inline display of progress

intramodularConnectivity: Calculation of intramodular connectivity

isMultiData: Determine whether the supplied object is a valid multiData...

keepCommonProbes: Keep probes that are shared among given data sets

kMEcomparisonScatterplot: Function to plot kME values between two comparable data sets.

labeledBarplot: Barplot with text or color labels.

labeledHeatmap: Produce a labeled heatmap plot

labeledHeatmap.multiPage: Labeled heatmap divided into several separate plots.

labelPoints: Label scatterplot points

labels2colors: Convert numerical labels to colors.

list2multiData: Convert a list to a multiData structure and vice-versa.

lowerTri2matrix: Reconstruct a symmetric matrix from a distance...

matchLabels: Relabel module labels to best match the given reference...

matrixToNetwork: Construct a network from a matrix

mergeCloseModules: Merge close modules in gene expression data

metaAnalysis: Meta-analysis of binary and continuous variables

metaZfunction: Meta-analysis Z statistic

moduleColor.getMEprefix: Get the prefix used to label module eigengenes.

moduleEigengenes: Calculate module eigengenes.

moduleMergeUsingKME: Merge modules and reassign genes using kME.

moduleNumber: Fixed-height cut of a dendrogram.

modulePreservation: Calculation of module preservation statistics

mtd.apply: Apply a function to each set in a multiData structure.

mtd.mapply: Apply a function to elements of given multiData structures.

mtd.rbindSelf: Turn a multiData structure into a single matrix or data...

mtd.setAttr: Set attributes on each component of a multiData structure

mtd.setColnames: Get and set column names in a multiData structure.

mtd.simplify: If possible, simplify a multiData structure to a...

mtd.subset: Subset rows and columns in a multiData structure

multiData: Create a multiData structure.

multiData.eigengeneSignificance: Eigengene significance across multiple sets

multiSetMEs: Calculate module eigengenes.

multiUnion: Union and intersection of multiple sets

mutualInfoAdjacency: Calculate weighted adjacency matrices based on mutual...

nearestCentroidPredictor: Nearest centroid predictor

nearestNeighborConnectivity: Connectivity to a constant number of nearest neighbors

nearestNeighborConnectivityMS: Connectivity to a constant number of nearest neighbors across...

networkConcepts: Calculations of network concepts

networkScreening: Identification of genes related to a trait

networkScreeningGS: Network gene screening with an external gene significance...

normalizeLabels: Transform numerical labels into normal order.

nPresent: Number of present data entries.

nSets: Number of sets in a multi-set variable

numbers2colors: Color representation for a numeric variable

orderBranchesUsingHubGenes: Optimize dendrogram using branch swaps and reflections.

orderMEs: Put close eigenvectors next to each other

overlapTable: Calculate overlap of modules

overlapTableUsingKME: Determines significant overlap between modules in two...

pickHardThreshold: Analysis of scale free topology for hard-thresholding.

pickSoftThreshold: Analysis of scale free topology for soft-thresholding

plotClusterTreeSamples: Annotated clustering dendrogram of microarray samples

plotColorUnderTree: Plot color rows in a given order, for example under a...

plotCor: Red and Green Color Image of Correlation Matrix

plotDendroAndColors: Dendrogram plot with color annotation of objects

plotEigengeneNetworks: Eigengene network plot

plotMat: Red and Green Color Image of Data Matrix

plotMEpairs: Pairwise scatterplots of eigengenes

plotModuleSignificance: Barplot of module significance

plotNetworkHeatmap: Network heatmap plot

populationMeansInAdmixture: Estimate the population-specific mean values in an admixed...

pquantile: Parallel quantile, median, mean

prepComma: Prepend a comma to a non-empty string

prependZeros: Pad numbers with leading zeros to specified total width

preservationNetworkConnectivity: Network preservation calculations

projectiveKMeans: Projective K-means (pre-)clustering of expression data

proportionsInAdmixture: Estimate the proportion of pure populations in an admixed...

propVarExplained: Proportion of variance explained by eigengenes.

PWLists: Pathways with Corresponding Gene Markers - Compiled by Mike...

qvalue: Estimate the q-values for a given set of p-values

qvalue.restricted: qvalue convenience wrapper

randIndex: Rand index of two partitions

rankPvalue: Estimate the p-value for ranking consistently high (or low)...

recutBlockwiseTrees: Repeat blockwise module detection from pre-calculated data

recutConsensusTrees: Repeat blockwise consensus module detection from...

redWhiteGreen: Red-white-green color sequence

relativeCorPredictionSuccess: Compare prediction success

removeGreyME: Removes the grey eigengene from a given collection of...

removePrincipalComponents: Remove leading principal components from data

returnGeneSetsAsList: Return pre-defined gene lists in several biomedical...

rgcolors.func: Red and Green Color Specification

scaleFreeFitIndex: Calculation of fitting statistics for evaluating scale free...

scaleFreePlot: Visual check of scale-free topology

SCsLists: Stem Cell-Related Genes with Corresponding Gene Markers

selectFewestConsensusMissing: Select columns with the lowest consensus number of missing...

setCorrelationPreservation: Summary correlation preservation measure

shortenStrings: Shorten given character strings by truncating at a suitable...

sigmoidAdjacencyFunction: Sigmoid-type adacency function.

signedKME: Signed eigengene-based connectivity

signumAdjacencyFunction: Hard-thresholding adjacency function

simulateDatExpr: Simulation of expression data

simulateDatExpr5Modules: Simplified simulation of expression data

simulateEigengeneNetwork: Simulate eigengene network from a causal model

simulateModule: Simulate a gene co-expression module

simulateMultiExpr: Simulate multi-set expression data

simulateSmallLayer: Simulate small modules

sizeGrWindow: Opens a graphics window with specified dimensions

softConnectivity: Calculates connectivity of a weighted network.

spaste: Space-less paste

standardColors: Colors this library uses for labeling modules.

standardScreeningBinaryTrait: Standard screening for binatry traits

standardScreeningCensoredTime: Standard Screening with regard to a Censored Time Variable

standardScreeningNumericTrait: Standard screening for numeric traits

stdErr: Standard error of the mean of a given vector.

stratifiedBarplot: Bar plots of data across two splitting parameters

subsetTOM: Topological overlap for a subset of a whole set of genes

swapTwoBranches: Select, swap, or reflect branches in a dendrogram.

TOMplot: Graphical representation of the Topological Overlap Matrix

TOMsimilarity: Topological overlap matrix similarity and dissimilarity

TOMsimilarityFromExpr: Topological overlap matrix

transposeBigData: Transpose a big matrix or data frame

TrueTrait: Estimate the true trait underlying a list of surrogate...

unsignedAdjacency: Calculation of unsigned adjacency

userListEnrichment: Measure enrichment between inputted and user-defined lists

vectorizeMatrix: Turn a matrix into a vector of non-redundant components

vectorTOM: Topological overlap for a subset of the whole set of genes

verboseBarplot: Barplot with error bars, annotated by Kruskal-Wallis or ANOVA...

verboseBoxplot: Boxplot annotated by a Kruskal-Wallis p-value

verboseIplot: Scatterplot with density

verboseScatterplot: Scatterplot annotated by regression line and p-value

votingLinearPredictor: Voting linear predictor

WGCNA-package: Weighted Gene Co-Expression Network Analysis

Files in this package

WGCNA
WGCNA/inst
WGCNA/inst/CITATION
WGCNA/src
WGCNA/src/pivot.h
WGCNA/src/quantileC.cc
WGCNA/src/Makevars
WGCNA/src/compiling.h
WGCNA/src/corFunctions-common.h
WGCNA/src/array.h
WGCNA/src/bucketApproxSort.cc
WGCNA/src/corFunctions-unified.c
WGCNA/src/corFunctions-common.c
WGCNA/src/corFunctions.h
WGCNA/src/pivot.c
WGCNA/src/networkFunctions.c
WGCNA/src/exceptions.h
WGCNA/src/Makevars.win
WGCNA/src/arrayGeneric.h
WGCNA/NAMESPACE
WGCNA/data
WGCNA/data/BrainRegionMarkers.rda
WGCNA/data/BrainLists.rda
WGCNA/data/BloodLists.rda
WGCNA/data/PWLists.rda
WGCNA/data/ImmunePathwayLists.rda
WGCNA/data/SCsLists.rda
WGCNA/Changelog
WGCNA/R
WGCNA/R/adjacency.polyReg.R WGCNA/R/networkConcepts.R WGCNA/R/stratifiedBarplot.R WGCNA/R/modulePreservation.R WGCNA/R/Functions.R WGCNA/R/GOenrichmentAnalysis.R WGCNA/R/verboseIplot.R WGCNA/R/adjacency.splineReg.R WGCNA/R/standardScreeningBinaryTrait.R WGCNA/R/corAndPvalue.R WGCNA/R/consensusTOM.R WGCNA/R/qvalue.R WGCNA/R/nearestCentroidPredictor.R WGCNA/R/heatmapWithLegend.R WGCNA/R/matchLabels.R WGCNA/R/labelPoints.R WGCNA/R/dendrogramAdjustmentFunctions.R WGCNA/R/votingLinearPredictor.R WGCNA/R/branchSplit.R WGCNA/R/returnGeneSetsAsList.R WGCNA/R/proportionsInAdmixture.R WGCNA/R/TrueTrait.R WGCNA/R/overlapTableUsingKME.R WGCNA/R/userListEnrichment.R WGCNA/R/transposeBigData.R WGCNA/R/plotDendrogram.R WGCNA/R/kMEcomparisonScatterplot.R WGCNA/R/collapseRows.R WGCNA/R/Functions-fromSimilarity.R WGCNA/R/populationMeansInAdmixture.R WGCNA/R/AFcorMI.R WGCNA/R/blockwiseModulesC.R WGCNA/R/pquantile.R WGCNA/R/consensusDissTOMandTree.R WGCNA/R/moduleMergeUsingKME.R WGCNA/R/empiricalBayesLM.R WGCNA/R/mutualInfoAdjacency.R WGCNA/R/smaFunctions.R WGCNA/R/coxRegressionResiduals.R WGCNA/R/quantileC.R WGCNA/R/collapseRowsUsingKME.R WGCNA/R/exportFunctions.R WGCNA/R/bucketOrder.R WGCNA/R/internalConstants.R WGCNA/R/useNThreads.R WGCNA/R/consensusRepresentatives.R WGCNA/R/coClustering.R WGCNA/R/multiData.R WGCNA/R/conformityDecomposition.R WGCNA/R/corFunctions.R WGCNA/R/Functions-multiData.R WGCNA/R/zzz.R WGCNA/R/accuracyMeasures.R
WGCNA/MD5
WGCNA/DESCRIPTION
WGCNA/man
WGCNA/man/corPredictionSuccess.Rd WGCNA/man/allowWGCNAThreads.Rd WGCNA/man/TrueTrait.Rd WGCNA/man/transposeBigData.Rd WGCNA/man/removeGreyME.Rd WGCNA/man/mtd.setColnames.Rd WGCNA/man/accuracyMeasures.Rd WGCNA/man/plotMat.Rd WGCNA/man/signumAdjacencyFunction.Rd WGCNA/man/adjacency.Rd WGCNA/man/sigmoidAdjacencyFunction.Rd WGCNA/man/nearestCentroidPredictor.Rd WGCNA/man/projectiveKMeans.Rd WGCNA/man/conformityBasedNetworkConcepts.Rd WGCNA/man/overlapTable.Rd WGCNA/man/bicorAndPvalue.Rd WGCNA/man/chooseTopHubInEachModule.Rd WGCNA/man/blueWhiteRed.Rd WGCNA/man/consensusOrderMEs.Rd WGCNA/man/branchSplitFromStabilityLabels.Rd WGCNA/man/orderMEs.Rd WGCNA/man/mtd.mapply.Rd WGCNA/man/collectGarbage.Rd WGCNA/man/networkScreeningGS.Rd WGCNA/man/WGCNA-package.Rd WGCNA/man/orderBranchesUsingHubGenes.Rd WGCNA/man/multiUnion.Rd WGCNA/man/sizeGrWindow.Rd WGCNA/man/normalizeLabels.Rd WGCNA/man/GOenrichmentAnalysis.Rd WGCNA/man/labeledHeatmap.Rd WGCNA/man/goodSamples.Rd WGCNA/man/scaleFreeFitIndex.Rd WGCNA/man/goodSamplesGenes.Rd WGCNA/man/isMultiData.Rd WGCNA/man/plotCor.Rd WGCNA/man/empiricalBayesLM.Rd WGCNA/man/consensusKME.Rd WGCNA/man/plotModuleSignificance.Rd WGCNA/man/chooseOneHubInEachModule.Rd WGCNA/man/multiData.eigengeneSignificance.Rd WGCNA/man/consensusProjectiveKMeans.Rd WGCNA/man/nearestNeighborConnectivity.Rd WGCNA/man/automaticNetworkScreening.Rd WGCNA/man/TOMsimilarityFromExpr.Rd WGCNA/man/standardScreeningBinaryTrait.Rd WGCNA/man/checkAdjMat.Rd WGCNA/man/cutreeStatic.Rd WGCNA/man/rankPvalue.Rd WGCNA/man/exportNetworkToCytoscape.Rd WGCNA/man/subsetTOM.Rd WGCNA/man/kMEcomparisonScatterplot.Rd WGCNA/man/metaZfunction.Rd WGCNA/man/bicor.Rd WGCNA/man/ImmunePathwayLists.Rd WGCNA/man/collapseRows.Rd WGCNA/man/simulateSmallLayer.Rd WGCNA/man/cor.Rd WGCNA/man/prependZeros.Rd WGCNA/man/networkConcepts.Rd WGCNA/man/corAndPvalue.Rd WGCNA/man/goodSamplesGenesMS.Rd WGCNA/man/blockSize.Rd WGCNA/man/coxRegressionResiduals.Rd WGCNA/man/addTraitToMEs.Rd WGCNA/man/standardScreeningNumericTrait.Rd WGCNA/man/simulateDatExpr5Modules.Rd WGCNA/man/plotEigengeneNetworks.Rd WGCNA/man/branchSplit.Rd WGCNA/man/populationMeansInAdmixture.Rd WGCNA/man/mtd.rbindSelf.Rd WGCNA/man/matrixToNetwork.Rd WGCNA/man/mtd.subset.Rd WGCNA/man/pickSoftThreshold.Rd WGCNA/man/selectFewestConsensusMissing.Rd WGCNA/man/lowerTri2matrix.Rd WGCNA/man/moduleColor.getMEprefix.Rd WGCNA/man/plotClusterTreeSamples.Rd WGCNA/man/labelPoints.Rd WGCNA/man/bicovWeights.Rd WGCNA/man/corPvalueStudent.Rd WGCNA/man/automaticNetworkScreeningGS.Rd WGCNA/man/mtd.setAttr.Rd WGCNA/man/addGuideLines.Rd WGCNA/man/vectorizeMatrix.Rd WGCNA/man/fixDataStructure.Rd WGCNA/man/signedKME.Rd WGCNA/man/consensusRepresentatives.Rd WGCNA/man/TOMsimilarity.Rd WGCNA/man/labeledHeatmap.multiPage.Rd WGCNA/man/dynamicMergeCut.Rd WGCNA/man/alignExpr.Rd WGCNA/man/consensusTOM.Rd WGCNA/man/returnGeneSetsAsList.Rd WGCNA/man/mergeCloseModules.Rd WGCNA/man/verboseScatterplot.Rd WGCNA/man/colQuantileC.Rd WGCNA/man/numbers2colors.Rd WGCNA/man/coClustering.permutationTest.Rd WGCNA/man/multiData.Rd WGCNA/man/labels2colors.Rd WGCNA/man/nearestNeighborConnectivityMS.Rd WGCNA/man/consensusMEDissimilarity.Rd WGCNA/man/nSets.Rd WGCNA/man/matchLabels.Rd WGCNA/man/SCsLists.Rd WGCNA/man/simulateDatExpr.Rd WGCNA/man/standardScreeningCensoredTime.Rd WGCNA/man/greenWhiteRed.Rd WGCNA/man/collapseRowsUsingKME.Rd WGCNA/man/blockwiseConsensusModules.Rd WGCNA/man/exportNetworkToVisANT.Rd WGCNA/man/stdErr.Rd WGCNA/man/TOMplot.Rd WGCNA/man/allocateJobs.Rd WGCNA/man/BrainRegionMarkers.Rd WGCNA/man/removePrincipalComponents.Rd WGCNA/man/redWhiteGreen.Rd WGCNA/man/coClustering.Rd WGCNA/man/simulateMultiExpr.Rd WGCNA/man/prepComma.Rd WGCNA/man/rgcolors.func.Rd WGCNA/man/intramodularConnectivity.Rd WGCNA/man/moduleEigengenes.Rd WGCNA/man/goodSamplesMS.Rd WGCNA/man/setCorrelationPreservation.Rd WGCNA/man/plotNetworkHeatmap.Rd WGCNA/man/blockwiseIndividualTOMs.Rd WGCNA/man/propVarExplained.Rd WGCNA/man/BrainLists.Rd WGCNA/man/checkSets.Rd WGCNA/man/addErrorBars.Rd WGCNA/man/goodGenesMS.Rd WGCNA/man/relativeCorPredictionSuccess.Rd WGCNA/man/qvalue.Rd WGCNA/man/scaleFreePlot.Rd WGCNA/man/nPresent.Rd WGCNA/man/preservationNetworkConnectivity.Rd WGCNA/man/spaste.Rd WGCNA/man/verboseBoxplot.Rd WGCNA/man/keepCommonProbes.Rd WGCNA/man/conformityDecomposition.Rd WGCNA/man/standardColors.Rd WGCNA/man/proportionsInAdmixture.Rd WGCNA/man/cutreeStaticColor.Rd WGCNA/man/labeledBarplot.Rd WGCNA/man/overlapTableUsingKME.Rd WGCNA/man/multiSetMEs.Rd WGCNA/man/hubGeneSignificance.Rd WGCNA/man/mutualInfoAdjacency.Rd WGCNA/man/pquantile.Rd WGCNA/man/shortenStrings.Rd WGCNA/man/simulateEigengeneNetwork.Rd WGCNA/man/verboseIplot.Rd WGCNA/man/simulateModule.Rd WGCNA/man/addGrid.Rd WGCNA/man/greenBlackRed.Rd WGCNA/man/softConnectivity.Rd WGCNA/man/clusterCoef.Rd WGCNA/man/branchSplit.dissim.Rd WGCNA/man/qvalue.restricted.Rd WGCNA/man/pickHardThreshold.Rd WGCNA/man/initProgInd.Rd WGCNA/man/recutBlockwiseTrees.Rd WGCNA/man/formatLabels.Rd WGCNA/man/networkScreening.Rd WGCNA/man/corPvalueFisher.Rd WGCNA/man/mtd.simplify.Rd WGCNA/man/goodGenes.Rd WGCNA/man/vectorTOM.Rd WGCNA/man/adjacency.polyReg.Rd WGCNA/man/adjacency.splineReg.Rd WGCNA/man/modulePreservation.Rd WGCNA/man/swapTwoBranches.Rd WGCNA/man/consensusDissTOMandTree.Rd WGCNA/man/BloodLists.Rd WGCNA/man/plotDendroAndColors.Rd WGCNA/man/plotColorUnderTree.Rd WGCNA/man/metaAnalysis.Rd WGCNA/man/plotMEpairs.Rd WGCNA/man/verboseBarplot.Rd WGCNA/man/stratifiedBarplot.Rd WGCNA/man/GTOMdist.Rd WGCNA/man/fundamentalNetworkConcepts.Rd WGCNA/man/blockwiseModules.Rd WGCNA/man/correlationPreservation.Rd WGCNA/man/list2multiData.Rd WGCNA/man/userListEnrichment.Rd WGCNA/man/recutConsensusTrees.Rd WGCNA/man/mtd.apply.Rd WGCNA/man/votingLinearPredictor.Rd WGCNA/man/displayColors.Rd WGCNA/man/unsignedAdjacency.Rd WGCNA/man/AFcorMI.Rd WGCNA/man/moduleNumber.Rd WGCNA/man/moduleMergeUsingKME.Rd WGCNA/man/branchEigengeneDissim.Rd WGCNA/man/randIndex.Rd WGCNA/man/PWLists.Rd

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