seuratPCA: seuratPCA Computes PCA on the input sce object and stores the...

Description Usage Arguments Value Examples

View source: R/seuratFunctions.R

Description

seuratPCA Computes PCA on the input sce object and stores the calculated principal components within the sce object

Usage

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seuratPCA(inSCE, useAssay, reducedDimName = "seuratPCA", nPCs = 20)

Arguments

inSCE

(sce) object on which to compute PCA

useAssay

Assay containing scaled counts to use in PCA.

reducedDimName

Name of new reducedDims object containing Seurat PCA. Default seuratPCA.

nPCs

numeric value of how many components to compute. Default 20.

Value

Updated SingleCellExperiment object which now contains the computed principal components

Examples

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

## End(Not run)

singleCellTK documentation built on Nov. 8, 2020, 5:21 p.m.