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A Bayesian approach for structure learning in oscillating regulatory networks

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A Bayesian approach for structure learning in oscillating regulatory networks. / Trejo-Banos, Daniel; Millar, Andrew; Sanguinetti, Guido.

In: Bioinformatics, Vol. 31, No. 22, 14.07.2015, p. 3617-3624.

Research output: Contribution to journalArticle

Harvard

Trejo-Banos, D, Millar, A & Sanguinetti, G 2015, 'A Bayesian approach for structure learning in oscillating regulatory networks', Bioinformatics, vol. 31, no. 22, pp. 3617-3624. https://doi.org/10.1093/bioinformatics/btv414

APA

Trejo-Banos, D., Millar, A., & Sanguinetti, G. (2015). A Bayesian approach for structure learning in oscillating regulatory networks. Bioinformatics, 31(22), 3617-3624. https://doi.org/10.1093/bioinformatics/btv414

Vancouver

Trejo-Banos D, Millar A, Sanguinetti G. A Bayesian approach for structure learning in oscillating regulatory networks. Bioinformatics. 2015 Jul 14;31(22):3617-3624. https://doi.org/10.1093/bioinformatics/btv414

Author

Trejo-Banos, Daniel ; Millar, Andrew ; Sanguinetti, Guido. / A Bayesian approach for structure learning in oscillating regulatory networks. In: Bioinformatics. 2015 ; Vol. 31, No. 22. pp. 3617-3624.