plotScanpyPCAVariance: plotScanpyPCAVariance

In compbiomed/singleCellTK: Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data

plotScanpyPCAVariance

Description

plotScanpyPCAVariance

Usage

plotScanpyPCAVariance(inSCE, nPCs = 50, log = FALSE)

Arguments

inSCE	Input SingleCellExperiment object.
nPCs	Number of PCs to show. Default 50.
log	Plot on logarithmic scale. Default FALSE

Value

plot object

Examples

data(scExample, package = "singleCellTK")
## Not run: 
sce <- runScanpyNormalizeData(sce, useAssay = "counts")
sce <- runScanpyFindHVG(sce, useAssay = "scanpyNormData", method = "seurat")
sce <- runScanpyScaleData(sce, useAssay = "scanpyNormData")
sce <- runScanpyPCA(sce, useAssay = "scanpyScaledData")
plotScanpyPCAVariance(sce)

## End(Not run)

compbiomed/singleCellTK documentation built on Feb. 10, 2024, 3:32 a.m.