seuratScaleData {singleCellTK} | R Documentation

## seuratScaleData Scales the input sce object according to the input parameters

### Description

seuratScaleData Scales the input sce object according to the input parameters

### Usage

    seuratScaleData(
      inSCE,
      useAssay = "seuratNormData",
      scaledAssayName = "seuratScaledData",
      model = "linear",
      scale = TRUE,
      center = TRUE,
      scaleMax = 10,
      verbose = TRUE
    )

### Arguments

`inSCE` | (sce) object to scale
`useAssay` | Assay containing normalized counts to scale.
`scaledAssayName` | Name of new assay containing scaled data. Default `seuratScaledData`.
`model` | selected model to use for scaling data. Default `"linear"`.
`scale` | boolean if data should be scaled or not. Default `TRUE`.
`center` | boolean if data should be centered or not. Default `TRUE`
`scaleMax` | maximum numeric value to return for scaled data. Default `10`.
`verbose` | Logical value indicating if informative messages should be displayed. Default is `TRUE`.

### Value

Scaled `SingleCellExperiment` object

### Examples

    data(scExample, package = "singleCellTK")
    ## Not run:
    sce <- seuratNormalizeData(sce, useAssay = "counts")
    sce <- seuratFindHVG(sce, useAssay = "counts")
    sce <- seuratScaleData(sce, useAssay = "counts")

    ## End(Not run)

[Package singleCellTK version 2.2.0 Index]