Plot a scatter plot of the probability distribution against the primary assay feature

probDis.plot(ppi_prediction_result, set = "test", assay = "mean_cBRET")

Arguments

ppi_prediction_result:

result object from the ppi.prediction() function.

set:

PPI set to generate the plot for: "test" or "train"

assay:

specify which training feature to plot against the probability

Value

a ggplot2 object

Examples

data("example_ppi_prediction")
probDis.plot(example_ppi_prediction)
#> Warning: Removed 91 rows containing missing values (geom_point).