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Determining Interconnections in Chemical Reaction Networks
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Document Date: 2012-03-04 12:58:25


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New York City / /

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Prentice Hall Inc. / Cambridge University Press / Artificial Neural Networks / CHEMICAL REACTION NETWORKS / C CO / Oxford University Press Inc. / Volterra / Hertz / /

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United States / /

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AUD / USD / /

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University of Oxford / Times Square / American Control Conference Marriott Marquis Hotel / Mathematics Research Center / California Institute of Technology / University of Wisconsin-Madison / /

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causal chemical connectivities / sparsest solution / genetic regulatory networks / chemical pathways / candidate network / steady-state solutions / biochemical systems / sparse solution / reaction network / chemical network / reaction networks / neural networks / large networks / sparsest network / nonlinear systems / rate law / closed-form solution / candidate networks / particular network / sparse feasible solutions / chemical species / random networks / power law approximation / chemical complexes / gene networks / /

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U.K. / /

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California Institute of Technology / Cambridge University / Mathematics Research Center / Oxford University / National Academy of Sciences / Department of Engineering Science / Center for the Mathematics of Information / University of Wisconsin / University of Oxford / /

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K. Stephen Yeung / Doyle III / /

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Laurent-Schwartz / /

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R / K / /

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Wisconsin / /

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Proceedings of the National Academy of Sciences / Journal of Theoretical Biology / Molecular Biology / /

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Biotechnology / Linear Programming algorithm / Simulation / /

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