Export featureplot as svg to your working directory

Usage

TS_svg_from_featureplot(
  seurat_object,
  file_prefix,
  features,
  pt.size = 1.5,
  order = TRUE,
  cols = c("lightgray", "#FEFDE2", "#FEEAC7", "#FDD7AC", "#FDC591", "#FDB276", "#FC9F5B",
    "#FC8C40", "#FC8C40", "#EB753C", "#DA5D38", "#C94634", "#B72F30", "#A6172C",
    "#950028"),
  reduction = "umap"
)

Arguments

seurat_object: The Seurat object you wish to plot
file_prefix: Prefix for the saved file, e.g. sample name
features: Vector of features to plot
pt.size: Dot size, default = 1.5
order: Whether to plot positive cells last, e.g. on top, default = 1.5
cols: Vector of colors to use
reduction: Dimensionality reduction technique to use for plotting, default = "umap"