ABC-SysBio 2.08
:: DESCRIPTION
ABC-SysBio (approximate Bayesian computation) implements likelihood free parameter inference and model selection in dynamical systems. It is designed to work with both stochastic and deterministic models written in Systems Biology Markup Language (SBML). ABC-SysBio is a Python package that combines three algorithms: ABC rejection sampler, ABC SMC for parameter inference and ABC SMC for model selection.
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::DEVELOPER
The research in the Theoretical Systems Biology Group
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux / Windows/ MacOsX
- Python
:: DOWNLOAD
:: MORE INFORMATION
Citation:
J. Liepe, C. Barnes, E. Cule, K. Erguler, P. Kirk, T. Toni, M. P.H. Stumpf
“ABC-SysBio – Approximate Bayesian Computation in Python with GPU support”
Bioinformatics. 2010 Jul 15;26(14):1797-9.