splatPopQuantNorm {splatter} | R Documentation

## Quantile normalize by sample to fit sc expression distribution.

### Description

For each sample, expression values are quantile normalized (qgamma) using the gamma distribution parameterized from splatEstimate(). This ensures the simulated gene means reflect the distribution expected from a sc dataset and not a bulk dataset.

### Usage

    splatPopQuantNorm(params, means)

### Arguments

`params` | SplatPopParams object containing parameters for population scale simulations. See `SplatPopParams` for details.
`means` | Mean gene expression matrix with eQTL effects.

### Value

matrix of quantile normalized gene mean expression levels.

### Examples

    if (requireNamespace("VariantAnnotation", quietly = TRUE) &&
        requireNamespace("preprocessCore", quietly = TRUE)) {
        bulk.means <- mockBulkMatrix(n.genes = 100, n.samples = 100)
        bulk.qnorm <- splatPopQuantNorm(newSplatPopParams(), bulk.means)
    }

[Package splatter version 1.14.1 Index]