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Bayesian methods for elucidating genetic regulatory networks |
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| Authors: | Hartemink A.J. Gifford D.K. Jaakkola T.S. Young R.A. |
| Affiliation: | Duke Univ., Durham, NC, USA; |
| Abstract: | 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. |
| Keywords: | |