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

In nosarcasm/WGCNA: Weighted Correlation Network Analysis

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?

Details

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

Value

GS.Weighted	weighted gene significance
GS	copy of the input gene significances (only if addGS=TRUE)

Author(s)

Steve Horvath

See Also

networkScreening, automaticNetworkScreeningGS

nosarcasm/WGCNA documentation built on May 28, 2019, 1:01 p.m.