Accelerated maximum likelihood parameter estimation for stochastic biochemical systems
Abstract Background A prerequisite for the mechanistic simulation of a biochemical system is detailed knowledge of its kinetic parameters.Despite recent experimental advances, the estimation of unknown parameter values from observed data is still a bottleneck for obtaining accurate simulation results.Many methods exist for parameter estimation in d