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A statistical approach reveals designs for the most robust stochastic gene oscillators
Mae Woods, Miriam Leon, Ruben Perez-Carrasco, Chris P. Barnes
doi: https://doi.org/10.1101/025056
Mae Woods
†Computational Systems and Synthetic Biology, Department of Cell and Developmental Biology, University College London
Miriam Leon
†Computational Systems and Synthetic Biology, Department of Cell and Developmental Biology, University College London
Ruben Perez-Carrasco
‡Department of Mathematics, University College London
Chris P. Barnes
†Computational Systems and Synthetic Biology, Department of Cell and Developmental Biology, University College London
¶Department of Genetics, Evolution and Environment, University College London
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Posted October 19, 2015.
A statistical approach reveals designs for the most robust stochastic gene oscillators
Mae Woods, Miriam Leon, Ruben Perez-Carrasco, Chris P. Barnes
bioRxiv 025056; doi: https://doi.org/10.1101/025056
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