Calculates the ratio of the bordering cell count and the
total to-be-clustered cell count in an image. The bordering cells are detected
by the default identify_bordering_cells function. If the
ratio is high, it means that most cells to be clustered are identified as bordering
cells. This means there is no clear clusters.
R_BC(spe_object, cell_type_of_interest, feature_colname)Arguments
- spe_object
SpatialExperiment object in the form of the output of
format_image_to_spe.- cell_type_of_interest
String. The cell type that the user wants to determine a cluster of.
- feature_colname
String. The column that contains the cell type to be clustered.
Value
A number is returned.
Examples
R_BC(SPIAT::defined_image, cell_type_of_interest = "Tumour", "Cell.Type")
#> [1] 0.2014652