Run gene-level circular prediction

Run gene-level circular prediction

gcap.runPrediction(data, model = "XGB11")

Arguments

data

data to predict (data.frame/matrix format), from gcap.collapse2Genes() in general.

model

model name ("XGB11", "XGB32", "XGB56") or a custom model from input. 'toy' can be used for test.

Value

a numeric vector representing prob.

Examples

data("ec")
# Use toy model for illustration
y_pred <- gcap.runPrediction(ec, "toy")
y_pred