StochSS
StochSS: Stochastic Simulation Service. StochSS is an integrated development environment (IDE) for simulation of biochemical networks: Define models in an easy-to-use model editor. Interactive 3D visualization of models and results. Scale your simulations to the cloud with a click-of-a-button. StochSS automatically converts your models from ODE, to well-mixed stochastic, to spatial stochastic. Supports parameter estimation and parameter sensitivity. Supports parameter sweeps. Multi-user environment makes collaborations easier.
Keywords for this software
References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
Sorted by year (- Sophie Hautphenne, Brendan Patch: Birth-and-death Processes in Python: The BirDePy Package (2021) arXiv
- Bartosz J. Bartmanski; Ruth E. Baker: StoSpa2: A C++ software package for stochastic simulations of spatially extended systems (2020) not zbMATH
- Drawert, Brian; Jacob, Bruno; Li, Zhen; Yi, Tau-Mu; Petzold, Linda: A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection-diffusion-reaction problems (2019)
- Lötstedt, Per: The linear noise approximation for spatially dependent biochemical networks (2019)
- Alfonso Landeros, Timothy Stutz, Kevin L. Keys, Alexander Alekseyenko, Janet S. Sinsheimer, Kenneth Lange, Mary Sehl: BioSimulator.jl: Stochastic simulation in Julia (2018) arXiv
- Weilong Hu; Yannis Pantazis; Markos Katsoulakis: ISAP-MATLAB Package for Sensitivity Analysis of High-Dimensional Stochastic Chemical Networks (2018) not zbMATH