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Bayesian methods for elucidating genetic regulatory networks

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4 Author(s)
Hartemink, A.J. ; Duke Univ., Durham, NC, USA ; Gifford, D.K. ; Jaakkola, T.S. ; Young, R.A.

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 )