Simulate counts using the scDD method.
scDDSimulate( params = newSCDDParams(), plots = FALSE, plot.file = NULL, verbose = TRUE, BPPARAM = SerialParam(), ... )
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 |
... | any additional parameter settings to override what is provided in
|
SingleCellExperiment containing simulated counts
This function is just a wrapper around simulateSet
that
takes a SCDDParams
, runs the simulation then converts the
output to a SingleCellExperiment
object.
See simulateSet
for more details about how the simulation
works.
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
if (FALSE) { sim <- scDDSimulate() }