createInteractions: Create a differentially coexpressed data set with...

In insilico/privateEC: Privacy Preserving Evaporative Cooling Feature Selection and Classification with Relief-F and Random Forests

Description

Create a differentially coexpressed data set with interactions

Usage

createInteractions(
  M = 100,
  N = 100,
  label = "class",
  pct.imbalance = 0.5,
  meanExpression = 7,
  A = NULL,
  randSdNoise = 1,
  sdNoise = 0.4,
  sampleIndicesInteraction = NULL,
  verbose = FALSE
)

Arguments

M	An integer for the number of samples (rows)
N	An integer for the number of variables (columns)
label	A character vector for the name of the outcome column. class for classification and qtrait for regression
pct.imbalance	A numeric percentage to indicate proportion of the imbalaced samples. 0 means all controls and 1 mean all cases.
meanExpression	A numeric for the mean expression levels
A	A matrix representing a weighted, undirected network (adjacency)
randSdNoise	Random noise for the background expression levels
sdNoise	A numeric for the noise in the differential expression
sampleIndicesInteraction	A vector of integers of significant variables
verbose	A flag for sending verbose output to stdout

Value

A matrix representing the new new data set.

See Also

Other simulation: createMainEffects(), createMixedSimulation(), createSimulation(), splitDataset()

insilico/privateEC documentation built on May 22, 2020, 5:12 p.m.