escoSimDownSample: Simulate observed count matrix though downsampling. (This...

In JINJINT/splattermodify: Simple Simulation of Single-cell RNA Sequencing Data

Description

Simulate observed count matrix though downsampling. (This function is borrowed from SymSim).

Usage

escoSimDownSample(sim, trial, verbose, numCores = 2, nbatch = 1)

Arguments

sim	SingleCellExperiment to add dropout to.
trial	the index of trial of simulation, all trials share the same truth but the noise is added independently for each trial
verbose	whether to print the process or not
numCores	the number of cores used for parallelization, default is 2. If set as NULL, then all the detected cores are used.
nbatch	number of batches, default is 1.

Value

SingleCellExperiment with simulated dropout and observed counts.

References

Zhang X, Xu C, Yosef N. Simulating multiple faceted variability in single cell RNA sequencing. Nature communications. 2019 Jun 13;10(1):1-6. https://www.nature.com/articles/s41467-019-10500-w

JINJINT/splattermodify documentation built on May 19, 2021, 4:05 p.m.