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A review of the deterministic and diffusion approximations for stochastic chemical reaction networks

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Non-Parametric Estimation of Mutual Information through the Entropy of the Linkage., , and . Entropy, 15 (12): 5154-5177 (2013)Analysis of Timed Properties Using the Jump-Diffusion Approximation., , , , , and . EPEW, volume 10497 of Lecture Notes in Computer Science, page 69-84. Springer, (2017)Approximate analysis of biological systems by hybrid switching jump diffusion., , , , , and . Theor. Comput. Sci., (2015)Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons., , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 23-30. Springer, (2007)A mathematical model to study breast cancer growth., , , , , and . BIBM, page 1438-1445. IEEE Computer Society, (2017)Analysis of Petri Net Models through Stochastic Differential Equations., , , , , and . Petri Nets, volume 8489 of Lecture Notes in Computer Science, page 273-293. Springer, (2014)Approximate analysis of biological systems by hybrid switching jump diffusion., , , , , and . CoRR, (2014)A review of the deterministic and diffusion approximations for stochastic chemical reaction networks, , , , , and . (2017)cite arxiv:1711.02567.CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system., , , , , , , , , and 4 other author(s). Bioinform., (May 2023)A new computational workflow to guide personalized drug therapy., , , , , , , and . J. Biomed. Informatics, (December 2023)