Plot a bar diagram of the recovery rates at 50%, 75% and 95% probability

recovery.plot(
  ppi_prediction_result,
  set = "train",
  y = "count",
  groupby = "reference"
)

Arguments

ppi_prediction_result:

result object from the ppi.prediction() function.

set:

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

y:

specify to plot number ('count') or fraction ('frac') of positive interactions

groupby:

for the training set group by reference or complex

Value

a ggplot2 object

Examples

data("example_ppi_prediction")
recovery.plot(example_ppi_prediction)