splatPopQuantNorm: Quantile normalize by sample to fit sc expression...
In splatter: Simple Simulation of Single-cell RNA Sequencing Data

Description Usage Arguments Value Examples

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.

1	splatPopQuantNorm(params, means)

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

matrix of quantile normalized gene mean expression levels.

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