Produces a data.frame with mixing scores of inputed reference and target cells from a SingleCellExperiment object. It calculates reference-target interactions and reference-reference interactions based on default radius of 20. It derives the mixing score and normalises the score by (mixing score) * (number of reference cells) * 2 / (number of target cells). Function returns NA if the mixing score is being calculated between cells of the same type
mixing_score_summary( sce_object, reference_marker, target_marker, radius = 20, column )
| sce_object | SingleCellExperiment object in the form of the output of format_image_to_sce |
|---|---|
| reference_marker | Cell types of the reference cells |
| target_marker | Cell types of the target cells |
| radius | The maximum radius around a reference marker for another cell to be considered an interaction. |
| column | String specifying the column with the desired cell type annotations |
A data.frame of cell numbers, mixing scores, and normalised mixing scores.