computeQuantileMatrix {divergence} | R Documentation

## Compute quantile transformations

### Description

Function for computing the quantile transformation for one or more samples supplied as columns of a matrix.

### Usage

    computeQuantileMatrix(seMat)

### Arguments

`seMat` | A data matrix in SummarizedExperiment form, with each column corresponding to a sample and each row corresponding to a feature.

### Value

A matrix of the same dimensions with the quantile data.

### Examples

    baseMat = breastTCGA_Mat[, breastTCGA_Group == "NORMAL"]
    seMat.base = SummarizedExperiment(assays=list(data=baseMat))
    assays(seMat.base)$quantile = computeQuantileMatrix(seMat.base)

[Package divergence version 1.4.0 Index]