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Takes in the returned dataframe from marker_threshold_plot and generates a .pdf file containing scatter plots of actual intensity and predicted intensity for every marker.

Usage

marker_prediction_plot(predicted_data, marker)

Arguments

predicted_data

Output from predict_phenotypes.

marker

String. Marker to plot

Value

A plot is returned

Examples

predicted_result <- predict_phenotypes(sce_object = simulated_image, thresholds = NULL,
tumour_marker = "Tumour_marker",baseline_markers = c("Immune_marker1", "Immune_marker2", 
"Immune_marker3", "Immune_marker4"), reference_phenotypes = TRUE)
#> [1] "Tumour_marker"

#> [1] "Immune_marker1"

#> [1] "Immune_marker2"

#> [1] "Immune_marker3"

#> [1] "Immune_marker4"

marker_prediction_plot(predicted_result, marker = "Tumour_marker")