Bayesian network methods are useful for elucidating genetic regulatory networks because they can represent more than pair-wise relationships between variables, are resistant to overfitting, and remain robust in the face of noisy data.
Published in:
Intelligent Systems, IEEE
(Volume:17
,
Issue:
2
)
Date of Publication: March-April 2002