Plot a metadata selection in a biaxial FeatureScatter plot

Usage

FlowPlot(
  object,
  feature1,
  feature2,
  assay = "ADT",
  layer = "data",
  pt.size = 1,
  noise.zero = FALSE,
  noise.zero.bound = -0.01,
  gg_bandwidth = 0.1,
  rasterize = FALSE
)

Arguments

object: Seurat object
feature1: The x-axis feature
feature2: The y-axis feature
assay: Which assay
layer: Which layer in the assay, typically data
pt.size: Size of geom_point
noise.zero: Whether to simulate values from 0 to a negative value, done for visual purposes ONLY and for kernel density estimation when overlaying a density visualization. Will simulate values using a normal distribution centered at 0, take absolute values, and then scale from noise.zero.bound to 0.
noise.zero.bound: The negative value to which to simulate zeros to.
rasterize: Whether to rasterize the resulting plot.

Value

Returns a biaxial plot utilizing ggpointdensity::geom_pointdensity

Details

Scales the expression values for each feature in the specified assay from 0 to 1, with an optional split.by argument