Add to ORKGTraditional deterministic approaches for simulation of chemically reacting systems fail to capture the randomness inherent in such systems at scales common in intracellular biochemical processes. In this article we briefly review the state of the art in discrete stochastic and multiscale algorithms for simulation of biochemical systems and we present the StochKit software toolkit
This dissertation deals with complex and multi-scale biological processes. In general, these phenome...
We present an effective procedure for selecting the stepsize in the binomial $\tau$-leap method, whi...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
Recent studies through biological experiments have indicated that noise plays a very important role ...
In this paper we give an overview of some very recent work, as well as presenting a new approach, on...
Abstract reaction event that occurs in the system, the accuracy of the method comes at a high comput...
With the advances in measurement technology for molecular biology, predictive mathematical models of...
Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemica...
There are two fundamental ways to view coupled systems of chemical equations: as continuous, repres...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
In this paper we give an overview of some very recent work on the stochastic simulation of systems i...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
The multi-level method for discrete-state systems, first introduced by Anderson and Higham (SIAM Mul...
In cellular reaction systems, events often happen at different time and abundance scales. It is poss...
In this report we review the Riedel-Bruck stochastic simulation algorithm, which makes use of a cycl...
This dissertation deals with complex and multi-scale biological processes. In general, these phenome...
We present an effective procedure for selecting the stepsize in the binomial $\tau$-leap method, whi...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
Recent studies through biological experiments have indicated that noise plays a very important role ...
In this paper we give an overview of some very recent work, as well as presenting a new approach, on...
Abstract reaction event that occurs in the system, the accuracy of the method comes at a high comput...
With the advances in measurement technology for molecular biology, predictive mathematical models of...
Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemica...
There are two fundamental ways to view coupled systems of chemical equations: as continuous, repres...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
In this paper we give an overview of some very recent work on the stochastic simulation of systems i...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
The multi-level method for discrete-state systems, first introduced by Anderson and Higham (SIAM Mul...
In cellular reaction systems, events often happen at different time and abundance scales. It is poss...
In this report we review the Riedel-Bruck stochastic simulation algorithm, which makes use of a cycl...
This dissertation deals with complex and multi-scale biological processes. In general, these phenome...
We present an effective procedure for selecting the stepsize in the binomial $\tau$-leap method, whi...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...