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This function takes a data table of evaluation parameters and returns ROC curves for each term and an aggregate ROC curve along with corresponding AUC values.

Usage

get_roc_object(
  evaldata_params,
  col_param = "description",
  col_truth = "isDE",
  col_score = "p.adj"
)

Arguments

evaldata_params

Data table containing evaluation parameters.

col_param

Column name specifying the parameter for grouping.

col_truth

Column name for binary ground truth values.

col_score

Column name for predicted scores.

Value

A list containing ROC curves and AUCs for each group and an aggregate ROC curve and AUC.