iterateSimulations {singleCellTK} | R Documentation

## Returns significance data from a snapshot.

### Description

Returns significance data from a snapshot.

### Usage

    iterateSimulations(
      originalData,
      useAssay = "counts",
      realLabels,
      totalReads,
      cells,
      iterations
    )

### Arguments

`originalData` | The SingleCellExperiment object storing all assay data from the shiny app.
`useAssay` | Character. The name of the assay to be used for subsampling.
`realLabels` | Character. The name of the condition of interest. Must match a name from sample data.
`totalReads` | Numeric. The total number of reads in the simulated dataset, to be split between all simulated cells.
`cells` | Numeric. The number of virtual cells to simulate.
`iterations` | Numeric. How many times should each experimental design be simulated.

### Value

A matrix of significance information from a snapshot

### Examples

    data("mouseBrainSubsetSCE")
    res <- iterateSimulations(mouseBrainSubsetSCE, realLabels = "level1class",
                              totalReads = 1000, cells = 10, iterations = 2)

[Package singleCellTK version 2.2.0 Index]