Custom Labeled Variable Features Plot — VariableFeaturePlot

Creates variable features plot with N number of features already labeled by default.

VariableFeaturePlot_scCustom(
  seurat_object,
  num_features = 10,
  custom_features = NULL,
  label = TRUE,
  pt.size = 1,
  colors_use = c("black", "red"),
  repel = TRUE,
  y_axis_log = FALSE,
  assay = NULL,
  selection.method = NULL,
  ...
)

Arguments

seurat_object: Seurat object name.
num_features: Number of top variable features to highlight by color/label.
custom_features: A vector of custom feature names to label on plot instead of labeling top variable genes.
label: logical. Whether to label the top features. Default is TRUE.
pt.size: Adjust point size for plotting.
colors_use: colors to use for plotting. Default is "black" and "red".
repel: logical (default TRUE). Whether or not to repel the feature labels on plot.
y_axis_log: logical. Whether to change y axis to log10 scale (Default is FALSE).
assay: Assay to pull variable features from.
selection.method: If more then one method use to calculate variable features specify which method to use for plotting. See selection.method parameter in VariableFeaturePlot for list of options.
...: Extra parameters passed to VariableFeaturePlot.

Value

A ggplot object

Examples

library(Seurat)
VariableFeaturePlot_scCustom(seurat_object = pbmc_small, num_features = 10)
#> When using repel, set xnudge and ynudge to 0 for optimal results