precomputeBootstrapMeans {compartmap} | R Documentation

## Pre-compute the global means for bootstrapping compartments

### Description

Pre-compute the global means for bootstrapping compartments

### Usage

    precomputeBootstrapMeans(
      obj,
      targets = NULL,
      num.bootstraps = 100,
      assay = c("atac", "rna"),
      parallel = FALSE,
      num.cores = 1
    )

### Arguments

`obj` | Input SummarizedExperiment object
`targets` | Optional targets to shrink towards
`num.bootstraps` | The number of bootstraps to compute
`assay` | What type of assay the data are from
`parallel` | Whether to run in parallel
`num.cores` | How many cores to use for parallel processing

### Value

A matrix of bootstrapped global means

### Examples

    data("k562_scrna_chr14", package = "compartmap")
    scrna.bootstrap.global.means <- precomputeBootstrapMeans(k562_scrna_chr14, assay = "rna", num.bootstraps = 2)

[Package compartmap version 1.10.0 Index]