splatPopSimulateSample {splatter} | R Documentation

## splatPopSimulateSample simulation

### Description

Simulate count data for one sample from a fictional single-cell RNA-seq experiment using the Splat method.

### Usage

    splatPopSimulateSample(
      params = newSplatPopParams(),
      method = c("single", "groups", "paths"),
      counts.only = FALSE,
      verbose = TRUE,
      sample.means,
      ...
    )

### Arguments

`params` | SplatPopParams object containing parameters for population scale simulations. See `SplatPopParams` for details.
`method` | which simulation method to use. Options are "single" which produces a single population, "groups" which produces distinct groups (eg. cell types), "paths" which selects cells from continuous trajectories (eg. differentiation processes).
`counts.only` | logical. Whether to return only the counts.
`verbose` | logical. Whether to print progress messages.
`sample.means` | Gene means to use if running splatSimulatePop().
`...` | any additional parameter settings to override what is provided in `params`.

### Details

This function closely mirrors `splatSimulate`. The main difference is that it takes the means simulated by splatPopSimulateMeans instead of randomly sampling a mean for each gene. For details about this function see the documentation for `splatSimulate`.

### Value

SingleCellExperiment object containing the simulated counts and intermediate values for one sample.

### See Also

`splatSimLibSizes`, `splatPopSimGeneMeans`, `splatSimBatchEffects`, `splatSimBatchCellMeans`, `splatSimDE`, `splatSimCellMeans`, `splatSimBCVMeans`, `splatSimTrueCounts`, `splatSimDropout`, `splatPopSimulateSC`

[Package splatter version 1.14.1 Index]