VariableFeaturePlot: View variable features

In ibseq/scs-analysis: Tools for Single Cell Genomics

Description

View variable features

Usage

VariableFeaturePlot(
  object,
  cols = c("black", "red"),
  pt.size = 1,
  log = NULL,
  selection.method = NULL,
  assay = NULL,
  raster = NULL
)

Arguments

object	Seurat object
cols	Colors to specify non-variable/variable status
pt.size	Size of the points on the plot
log	Plot the x-axis in log scale
selection.method	Which method to pull. For HVFInfo and VariableFeatures, choose one from one of the following: “vst” “sctransform” or “sct” “mean.var.plot”, “dispersion”, “mvp”, or “disp” For SVFInfo and SpatiallyVariableFeatures, choose from: “markvariogram” “moransi”
assay	Assay to pull variable features from
raster	Convert points to raster format, default is NULL which will automatically use raster if the number of points plotted is greater than 100,000

Value

A ggplot object

See Also

FindVariableFeatures

Examples

data("pbmc_small")
VariableFeaturePlot(object = pbmc_small)

ibseq/scs-analysis documentation built on Feb. 27, 2021, 12:35 a.m.