SCtkExperiment {singleCellTK} | R Documentation

## Create a SCtkExperiment

### Description

Create a SCtkExperiment

### Usage

    SCtkExperiment(..., pcaVariances = S4Vectors::DataFrame())

### Arguments

`...` | SingleCellExperiment and SummarizedExperiment components
`pcaVariances` | The percent variation contained in each PCA dimension

### Value

A SingleCellExperiment like object with an addition pcaVariances slot.

### Examples

    data("mouseBrainSubsetSCE")
    counts_mat <- assay(mouseBrainSubsetSCE, "counts")
    sample_annot <- colData(mouseBrainSubsetSCE)
    row_annot <- rowData(mouseBrainSubsetSCE)
    newSCE <- SCtkExperiment(assays=list(counts=counts_mat),
                             colData=sample_annot,
                             rowData=row_annot)
    newSCE <- getPCA(newSCE, useAssay = "counts")
    #View the percent variation of the PCA
    pcaVariances(newSCE)

[Package singleCellTK version 1.6.0 Index]