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Comprehensive review of models and methods for inferences in bio-chemical reaction networks
[article]
2019
arXiv
pre-print
Key processes in biological and chemical systems are described by networks of chemical reactions. From molecular biology to biotechnology applications, computational models of reaction networks are used extensively to elucidate their non-linear dynamics. Model dynamics are crucially dependent on parameter values which are often estimated from observations. Over past decade, the interest in parameter and state estimation in models of (bio-)chemical reaction networks (BRNs) grew considerably.
arXiv:1902.05828v1
fatcat:sjb4jm53a5h3jf2swbiz7vk6hu