getClusterInputData {singleCellTK} | R Documentation

## Get data to use as input clustering algorithms

### Description

Get data to use as input clustering algorithms

### Usage

    getClusterInputData(inSCE, inputData, useAssay = "logcounts",
      reducedDimName = NULL)

### Arguments

`inSCE` | Input SCtkExperiment object. Required
`inputData` | A string ("Raw Data", "PCA Components", "tSNE Components", "UMAP Components")
`useAssay` | Indicate which assay to use for PCA. Default is "logcounts"
`reducedDimName` | If clustering on PCA, t-SNE or UMAP data, dimension name. The toolkit will store data with the pattern <ASSAY>_<ALGORITHM>.

### Value

Cluster input data

### Examples

    data("mouseBrainSubsetSCE")
    getClusterInputData(mouseBrainSubsetSCE, "PCA Components",
                        useAssay = "logcounts", reducedDimName = "PCA_logcounts")

[Package singleCellTK version 1.4.2 Index]