seuratFindHVG {singleCellTK} | R Documentation

## seuratFindHVG Find highly variable genes and store in the input sce object

### Description

seuratFindHVG Find highly variable genes and store in the input sce object

### Usage

    seuratFindHVG(inSCE, useAssay, hvgMethod = "vst", hvgNumber = 2000)

### Arguments

`inSCE` | (sce) object to compute highly variable genes from and to store back to it
`useAssay` | Normalized assay inside the SCE object to use for hvg computation.
`hvgMethod` | selected method to use for computation of highly variable genes. One of 'vst', 'dispersion', or 'mean.var.plot'. Default `"vst"`.
`hvgNumber` | numeric value of how many genes to select as highly variable. Default `2000`.

### Value

Updated `SingleCellExperiment` object with highly variable genes computation stored

### Examples

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

    ## End(Not run)

[Package singleCellTK version 2.0.0 Index]