Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana - researchr publication authors

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RÃ³nÃ¡n Daly, Kieron D. Edwards, John S. O Neill, J. Stuart Aitken, Andrew J. Millar, Mark A. Girolami. Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana. In Visakan Kadirkamanathan, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel, editors, Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings. Volume 5780 of Lecture Notes in Computer Science, pages 67-78, Springer, 2009. [doi]

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