seuratNormalizeData {singleCellTK} | R Documentation

## seuratNormalizeData Wrapper for NormalizeData() function from seurat library Normalizes the sce object according to the input parameters

### Description

seuratNormalizeData Wrapper for NormalizeData() function from seurat library Normalizes the sce object according to the input parameters

### Usage

    seuratNormalizeData(
      inSCE,
      useAssay,
      normAssayName = "seuratNormData",
      normalizationMethod = "LogNormalize",
      scaleFactor = 10000,
      verbose = TRUE
    )

### Arguments

`inSCE` | (sce) object to normalize
`useAssay` | Assay containing raw counts to use for normalization.
`normAssayName` | Name of new assay containing normalized data. Default `seuratNormData`.
`normalizationMethod` | selected normalization method. Default `"LogNormalize"`.
`scaleFactor` | numeric value that represents the scaling factor. Default `10000`.
`verbose` | Logical value indicating if informative messages should be displayed. Default is `TRUE`.

### Value

Normalized `SingleCellExperiment` object

### Examples

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

    ## End(Not run)

[Package singleCellTK version 2.2.0 Index]