WGCNA (version 1.25-1)

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

Description

This function performs gene screening based on external gene significance and their network properties.

Usage

automaticNetworkScreeningGS(
     datExpr, GS, 
     power = 6, networkType = "unsigned", 
     detectCutHeight = 0.995, minModuleSize = min(20, ncol(as.matrix(datExpr))/2), 
     datME = NULL)

Arguments

datExpr

data frame containing the expression data, columns corresponding to genes and rows to samples

GS

vector containing gene significance for all genes given in datExpr

power

soft thresholding power used in network construction

networkType

character string specifying network type. Allowed values are (unique abbreviations of) "unsigned", "signed", "hybrid".

detectCutHeight

cut height of the gene hierarchical clustering dendrogram. See cutreeDynamic for details.

minModuleSize

minimum module size to be used in module detection procedure.

datME

optional specification of module eigengenes. A data frame whose columns are the module eigengenes. If given, module analysis will not be performed.

Value

• A list with the following components:
• networkScreening
  a data frame containing results of the network screening procedure. See networkScreeningGS for more details.
• datME
  calculated module eigengenes (or a copy of the input datME, if given).
• hubGeneSignificance
  hub gene significance for all calculated modules. See hubGeneSignificance.

Details

Network screening is a method for identifying genes that have a high gene significance and are members of important modules at the same time. If datME is given, the function calls networkScreeningGS with the default parameters. If datME is not given, module eigengenes are first calculated using network analysis based on supplied parameters.

See Also

networkScreening, hubGeneSignificance, networkScreening, cutreeDynamic