MEANS: python package for Moment Expansion Approximation, iNference and Simulation.

ABSTRACT:

Motivation

Many biochemical systems require stochastic descriptions. Unfortunately these can only be solved for the simplest cases and their direct simulation can become prohibitively expensive, precluding thorough analysis. As an alternative, moment closure approximation methods generate equations for the time-evolution of the system's moments and apply a closure ansatz to obtain a closed set of differential equations; that can become the basis for the deterministic analysis of the moments of the outputs of stochastic systems.

Results

We present a free, user-friendly tool implementing an efficient moment expansion approximation with parametric closures that integrates well with the IPython interactive environment. Our package enables the analysis of complex stochastic syste

SUBMITTER: Fan S 

PROVIDER: S-EPMC5018365 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature