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DeepCME: A deep learning framework for computing solution statistics of the chemical master equation

2021
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PLoS Computational Biology
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Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic biology to study the effects of stochastic fluctuations emanating from reactions involving species with low copy-numbers. For such models, the Kolmogorov's forward equation is called the chemical master equation (CME), and it is a fundamental system of linear ordinary differential equations (ODEs) that describes the evolution of the probability distribution of the random state-vector representing

doi:10.1371/journal.pcbi.1009623
pmid:34879062
pmcid:PMC8687598
fatcat:i3z4rewtsfhjtk2bjhd5zth57m