Abstract
Planning experiments is a crucial step in successful investigations, which can greatly benefit from computational modeling 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.
DTB is funded by a Microsoft Research Studentship. GS acknowledges support from the European Research Council under grant MLCS30699. SynthSys was founded as a Centre for Integrative Biology by BBSRC/EPSRC award D19621 to AJM and others.
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Trejo-Banos, D., Millar, A.J., Sanguinetti, G. (2015). Experimental Design for Inference over the A. thaliana Circadian Clock Network. In: Roux, O., Bourdon, J. (eds) Computational Methods in Systems Biology. CMSB 2015. Lecture Notes in Computer Science(), vol 9308. Springer, Cham. https://doi.org/10.1007/978-3-319-23401-4_4
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DOI: https://doi.org/10.1007/978-3-319-23401-4_4
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