evaluate_multiple_rankings: Evaluate and compare multiple rankings

In rcannood/GENIE3: GENIE3: GEne Network Inference with Ensemble of Trees

Description

Evaluate and compare multiple rankings

Usage

evaluate_multiple_rankings(rankings, true_interactions, regulators, targets,
  extend_by = 10000)

Arguments

rankings	A list of data frames as returned by run_genie3. Each data frame must consist of three columns: regulator (factor or character), target (factor or character), and importance (numeric).
true_interactions	A data frame containing the true interactionss. This data frame must consist of two columns: regulator (factor or character), target (factor or character).
extend_by	The number of steps with which to fill the ranking as if random, if only a part of the ranking is given.

Value

a list containing 2 items, the ranked evaluation and the area under the curve scores.

See Also

run_genie3

rcannood/GENIE3 documentation built on Jan. 28, 2021, 4:28 a.m.