<p>Additional approaches not listed here are referenced via reviews in the text.</p
We provide a short review of stochastic modeling in chemical reaction networks for mathematical and ...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemica...
The dissertation is focused on algorithms for performing non-spatial and spatial stochastic simulati...
Background: In recent years, several stochastic simulation algorithms have been developed to generat...
All processes of life are controlled by networks of interacting biochemical components. The purpose ...
In this talk, we present stochastic modeling and computational methods for the time-evolution of rea...
Recent studies through biological experiments have indicated that noise plays a very important role ...
University of Minnesota Ph.D. dissertation. June 2018. Major: Chemical Engineering. Advisor: Prodrom...
The research and review papers presented in this volume provide an overview of the main issues, find...
Discrete-state, continuous-time Markov models are becoming commonplace in the modelling of biochemic...
Stochastic methods for simulating biochemical reaction networks often provide a more realistic descr...
Stochasticity plays an essential role in the dynamics of biochemical systems. Stochastic behaviors o...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
We provide a short review of stochastic modeling in chemical reaction networks for mathematical and ...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemica...
The dissertation is focused on algorithms for performing non-spatial and spatial stochastic simulati...
Background: In recent years, several stochastic simulation algorithms have been developed to generat...
All processes of life are controlled by networks of interacting biochemical components. The purpose ...
In this talk, we present stochastic modeling and computational methods for the time-evolution of rea...
Recent studies through biological experiments have indicated that noise plays a very important role ...
University of Minnesota Ph.D. dissertation. June 2018. Major: Chemical Engineering. Advisor: Prodrom...
The research and review papers presented in this volume provide an overview of the main issues, find...
Discrete-state, continuous-time Markov models are becoming commonplace in the modelling of biochemic...
Stochastic methods for simulating biochemical reaction networks often provide a more realistic descr...
Stochasticity plays an essential role in the dynamics of biochemical systems. Stochastic behaviors o...
The stochastic simulation algorithm has been used to generate exact trajectories of biochemical reac...
We provide a short review of stochastic modeling in chemical reaction networks for mathematical and ...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
The aim of this book is to provide a well-structured and coherent overview of existing mathematical ...
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