Scatterplot of two features of interest from colData with annotated thresholds and counts based on filters

plot_gex_univariate_qc(
  sce_list,
  x_filters = NULL,
  x,
  y = NULL,
  color = NULL,
  shape = NULL,
  x_log = TRUE,
  alpha = 1,
  text_size = 3,
  point_size = 0.05,
  facet_rows = NULL,
  facet_columns = NULL,
  facet_type = "wrap",
  ...
)

Arguments

sce_list

List of SingleCellExperiment object

x_filters

List of filters for each SCE object in sce_list from scater::isOutlier, or a vector with attribute named thresholds that is a vector with min and max allowed values

x

Numeric column from colData that is in all objects in sce_list

y

Discrete column from colData that is in all objects in sce_list to split histograms by

color

Column from colData that is in all objects in sce_list

shape

Column from colData that is in all objects in sce_list

x_log

Boolean to use log x-axis

text_size

Font size for annotations

facet_rows

Columns to facet on

facet_columns

Columns to facet on

facet_type

Either "wrap" or "grid", same as ggplot

...

params passed into either facet_wrap or facet_grid, depending on facet_type parameter

Value

Examples

NULL
#> NULL