Skip to contents

Calculates the ratio of the tumour border cell count and the total tumour cell count in an image. The tumour border cells are detected by the default identify_bordering_cells function. If the ratio is high, it means that most tumour cells are identified as bordering cells. This means there is no clear tumour clusters.

Usage

R_BT(sce_object, cell_type_of_interest, feature_colname)

Arguments

sce_object

SingleCellExperiment object generated by format_image_to_sce.

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 of interest.

Value

A number is returned.

Examples

R_BT(SPIAT::defined_image, cell_type_of_interest = "Tumour", "Cell.Type")

#> [1] 0.2014652