The dissertation is focused on algorithms for performing non-spatial and spatial stochastic simulations of reaction networks and on the exploration of improved or alternative approaches. Central topics are the evaluation and a subsequent comparison of algorithm performance in terms of execution speed and accuracy, the extension of temporal leap methods to the spatial realm as well as the introduction of a variant for a parallel execution, and the realization of a multi-algorithm simulation which introduces inter-rules to forge a link between the synchronized execution of subsidiary algorithms.Die Dissertation beschäftigt sich mit Algorithmen für die (nicht)räumliche stochastische Simulation von Reaktionsnetzwerken sowie deren Verbesserung b...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic simulation Algorithm), a new efficien...
It is a dream of Systems-Biology to efficiently simulate an entire cell on a computer. The potential...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic Simulation Algorithm), a new efficien...
<p>Additional approaches not listed here are referenced via reviews in the text.</p
Discrete-state, continuous-time Markov models are becoming commonplace in the modelling of biochemic...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
Copyright © 2014 Daniele D’Agostino et al. This is an open access article distributed under the Crea...
International audienceIn this course we will present some of the simulation methods most widely used...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
Spatial distributions characterize the evolution of reaction-diffusion models of several physical, c...
There is an increasing awareness of the pivotal role of noise in biochemical processes and of the ef...
An exact method for stochastic simulation of chemical reaction networks, which accelerates the Stoch...
Recent studies through biological experiments have indicated that noise plays a very important role ...
Abstract reaction event that occurs in the system, the accuracy of the method comes at a high comput...
Computational techniques provide invaluable tools for developing a quantitative understanding the co...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic simulation Algorithm), a new efficien...
It is a dream of Systems-Biology to efficiently simulate an entire cell on a computer. The potential...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic Simulation Algorithm), a new efficien...
<p>Additional approaches not listed here are referenced via reviews in the text.</p
Discrete-state, continuous-time Markov models are becoming commonplace in the modelling of biochemic...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
Copyright © 2014 Daniele D’Agostino et al. This is an open access article distributed under the Crea...
International audienceIn this course we will present some of the simulation methods most widely used...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
Spatial distributions characterize the evolution of reaction-diffusion models of several physical, c...
There is an increasing awareness of the pivotal role of noise in biochemical processes and of the ef...
An exact method for stochastic simulation of chemical reaction networks, which accelerates the Stoch...
Recent studies through biological experiments have indicated that noise plays a very important role ...
Abstract reaction event that occurs in the system, the accuracy of the method comes at a high comput...
Computational techniques provide invaluable tools for developing a quantitative understanding the co...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic simulation Algorithm), a new efficien...
It is a dream of Systems-Biology to efficiently simulate an entire cell on a computer. The potential...
This paper introduces HRSSA (Hybrid Rejection-based Stochastic Simulation Algorithm), a new efficien...