rscData: Generates Random Single Cell Data

In shenorrLab/bseqsc: Deconvolution of Bulk Sequencing Experiments using Single Cell Data

Description

Generates random single cell data from a negative binomial distribution.

Usage

rscData(n = 800, p = 5000, celltypes = 15, samples = 4,
  dispersion = 0.1, .rng = NULL)

Arguments

n	number of features
p	number of cells
celltypes	number of cell types
samples	number of biological samples
dispersion	dispersion parameter passed to argument size of stats::rnbinom.
.rng	specification to set the random number with rngtools::setRNG. This enables to generate reproducible data.

Value

an ExpressionSet object

Examples

x <- rscData()
x
varLabels(x)
summary(pData(x))

shenorrLab/bseqsc documentation built on May 29, 2019, 9:23 p.m.