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

ABSTRACT: 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 the copy-numbers of all the reacting species. The size of this system is given by the number of states that are accessible by the chemical system, and for most examples of interest this number is either very large or infinite. Moreover, approximations that reduce the size of the system by retaining o

SUBMITTER: Gupta A 

PROVIDER: S-EPMC8687598 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature