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WGCNA (version 1.25-1)

networkScreeningGS: Network gene screening with an external gene significance measure

Description

This function blends standard and network approaches to selecting genes (or variables in general) with high gene significance

Usage

networkScreeningGS(datExpr, datME, GS, oddPower = 3, blockSize = 1000, minimumSampleSize = ..minNSamples, 
addGS = TRUE)

Arguments

datExpr
data frame of expression data
datME
data frame of module eigengenes
GS
numeric vector of gene significances
oddPower
odd integer used as a power to raise module memberships and significances
blockSize
block size to use for calculations with large data sets
minimumSampleSize
minimum acceptable number of samples. Defaults to the default minimum number of samples used throughout the WGCNA package, currently 4.
addGS
logical: should gene significances be added to the screening statistics?

Value

  • GS.Weightedweighted gene significance
  • GScopy of the input gene significances (only if addGS=TRUE)

Details

This function should be considered experimental. It takes into account both the "standard" and the network measures of gene importance for the trait.

See Also

networkScreening, automaticNetworkScreeningGS