Planning experiments is a crucial step in successful investigations, which can greatly benefit from computationalmodeling approaches. Here we consider the problem of designing informative experiments for elucidating the dynamics of biological networks. Our approach extends previously proposed methodologies to the important case where the structure of the network is also uncertain. We demonstrate our approach on a benchmark scenario in plant biology, the circadian clock network of Arabidopsis thaliana, and discuss the different value of three types of commonly used experiments in terms of aiding the reconstruction of the unknown network.
CITATION STYLE
Trejo-Banos, D., Millar, A. J., & Sanguinetti, G. (2015). Experimental design for inference over the A. thaliana circadian clock network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9308, pp. 28–39). Springer Verlag. https://doi.org/10.1007/978-3-319-23401-4_4
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