WGCNA (version 1.43)

simulateDatExpr5Modules: Simplified simulation of expression data

Description

This function provides a simplified interface to the expression data simulation, at the cost of considerably less flexibility.

Usage

simulateDatExpr5Modules(
  nGenes = 2000,
  colorLabels = c("turquoise", "blue", "brown", "yellow", "green"),
  simulateProportions = c(0.1, 0.08, 0.06, 0.04, 0.02),
  MEturquoise, MEblue, MEbrown, MEyellow, MEgreen,
  SDnoise = 1, backgroundCor = 0.3)

Arguments

nGenes

total number of genes to be simulated.

colorLabels

labels for simulated modules.

simulateProportions

a vector of length 5 giving proportions of the total number of genes to be placed in each individual module. The entries must be positive and sum to at most 1. If the sum is less than 1, the leftover genes will be simulated outside of modules.

MEturquoise

seed module eigengene for the first module.

MEblue

seed module eigengene for the second module.

MEbrown

seed module eigengene for the third module.

MEyellow

seed module eigengene for the fourth module.

MEgreen

seed module eigengene for the fifth module.

SDnoise

level of noise to be added to the simulated expressions.

backgroundCor

backgrond correlation. If non-zero, a component will be added to all genes such that the average correlation of otherwise unrelated genes will be backgroundCor.

Value

• A list with the following components:
• datExpr
  the simulated expression data in a data frame, with rows corresponding to samples and columns to genes.
• truemodule
  a vector with one entry per gene containing the simulated module membership.
• datME
  a data frame containing a copy of the input module eigengenes.

Details

Roughly one-third of the genes are simulated with a negative correlation to their seed eigengene. See the functions simulateModule and simulateDatExpr for more details.

See Also

simulateModule for simulation of individual modules; simulateDatExpr for a more comprehensive data simulation interface.