Stochastic simulation algorithm with continuous and dis-continuous time-dependent reaction rates We use a time-dependent Gillespie algorithm that allows continuous and discontinuous changes in reaction rates to simulate extrinsic and intrinsic fluctuations. If the propensity of a re-action is a time-dependent a(t), then the probability of the reaction occurring at a time
The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics mode...
We present an efficient numerical algorithm for simulating chemical kinetic systems with multiple ti...
In this paper we examine the different formulations of Gillespie's stochastic simulation algorithm (...
Publication costs assisted by the Naval Weapons Center There are two formalisms for mathematically d...
Abstract: Recent experimental studies elucidating the importance of noise in gene regulation have ig...
<p>Histograms of the intervals between consecutive occurrences of processes in two stochastic simula...
The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics mode...
An exact method for stochastic simulation of chemical reaction networks, which accelerates the Stoch...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
AbstractStochastic approaches in systems biology are being used increasingly to model the heterogene...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
International audienceStochastic approaches in systems biology are being used increasingly to model ...
Reactions in real chemical systems often take place on vastly different time scales, with "fast" rea...
The inhomogeneous stochastic simulation algorithm (ISSA) is a fundamental method for spatial stochas...
Stochastic simulations are one of the cornerstones of the analysis of dynamical processes on complex...
The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics mode...
We present an efficient numerical algorithm for simulating chemical kinetic systems with multiple ti...
In this paper we examine the different formulations of Gillespie's stochastic simulation algorithm (...
Publication costs assisted by the Naval Weapons Center There are two formalisms for mathematically d...
Abstract: Recent experimental studies elucidating the importance of noise in gene regulation have ig...
<p>Histograms of the intervals between consecutive occurrences of processes in two stochastic simula...
The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics mode...
An exact method for stochastic simulation of chemical reaction networks, which accelerates the Stoch...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
AbstractStochastic approaches in systems biology are being used increasingly to model the heterogene...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
International audienceStochastic approaches in systems biology are being used increasingly to model ...
Reactions in real chemical systems often take place on vastly different time scales, with "fast" rea...
The inhomogeneous stochastic simulation algorithm (ISSA) is a fundamental method for spatial stochas...
Stochastic simulations are one of the cornerstones of the analysis of dynamical processes on complex...
The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics mode...
We present an efficient numerical algorithm for simulating chemical kinetic systems with multiple ti...
In this paper we examine the different formulations of Gillespie's stochastic simulation algorithm (...