GRNEvaluator#

class regdiffusion.GRNEvaluator(ground_truth, gene_names, metrics=['AUROC', 'AUPR', 'AUPRR', 'EP', 'EPR'])[source]#

A generalized evaluator for GRN inference.

Parameters:

ground_truth (np.ndarray or list) – Either a 2D numpy array or list of list holding the ground truth. Each row is an edge and includes names for the source and target nodes. For example, [[‘A’, ‘B’], [‘B’, ‘C’]].
gene_names (np.ndarray or list) – Either a 1D numpy array or list of gene names. Make sure the order of the gene names is the same as the order of gene names in the adjacency matrix.
metrics (list) – A list of supported evaluation metrics. Currently support ‘AUROC’, ‘AUPR’, ‘AUPRR’, ‘EP’, ‘EPR’.

GRNEvaluator