Simulate counts using the scDD method.

scDDSimulate(params = newSCDDParams(), plots = FALSE, plot.file = NULL,
  verbose = TRUE, BPPARAM = SerialParam(), ...)

Arguments

params

SCDDParams object containing simulation parameters.

plots

logical. whether to generate scDD fold change and validation plots.

plot.file

File path to save plots as PDF.

verbose

logical. Whether to print progress messages

BPPARAM

A BiocParallelParam instance giving the parallel back-end to be used. Default is SerialParam which uses a single core.

...

any additional parameter settings to override what is provided in params.

Value

SCESet containing simulated counts

Details

This function is just a wrapper around simulateSet that takes a SCDDParams, runs the simulation then converts the output to an SCESet object. See simulateSet for more details of how the simulation works.

References

Korthauer KD, Chu L-F, Newton MA, Li Y, Thomson J, Stewart R, et al. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Genome Biology (2016).

Paper: 10.1186/s13059-016-1077-y

Code: https://github.com/kdkorthauer/scDD

Examples

# NOT RUN {
sim <- scDDSimulate()
# }