C_M_WO_WC: Correct, Missing, Wrongly Oriented, Wronglyy Corrected Arcs

In BNDataGenerator: Data Generator based on Bayesian Network Model

Description

The existence of the known network structures allows us to define three important terms which indicate the performance of the algorithm (in terms of the number of graphical errors in the learnt structure).

Usage

	C_M_WO_WC(target_arcs_mat, learnt_arcs_mat)

Arguments

target_arcs_mat	A matrix of known network structure.
learnt_arcs_mat	A matrix of learnt network structure.

Value

C (Correct Arcs)	Edges present in the original network and in the learnt network structure.
M (Missing Arcs)	Edges present in the original network but not in the learnt network structure.
WO (Wrongly Oriented Arcs)	Edges present in the learnt network structure, but having opposite orientation when compared with the corresponding edge in the original network structure.
WC (Wrongly Corrected Arcs)	Edges not present in the original network but included in the learnt network structure.

Author(s)

Jae-seong Yoo <[e-mail]>

References

X.-w. Chen, G. Anantha, and X. Wang, (2006), An effective structure learning method for constructing gene networks, Bioinformatics, Vol. 22, 1367-1374.

See Also

See demo(asia) or demo(topology).

BNDataGenerator documentation built on May 1, 2019, 8:04 p.m.