Exact solving and sensitivity analysis of stochastic continuous time Boolean models.

ABSTRACT:

Background

Solutions to stochastic Boolean models are usually estimated by Monte Carlo simulations, but as the state space of these models can be enormous, there is an inherent uncertainty about the accuracy of Monte Carlo estimates and whether simulations have reached all attractors. Moreover, these models have timescale parameters (transition rates) that the probability values of stationary solutions depend on in complex ways, raising the necessity of parameter sensitivity analysis. We address these two issues by an exact calculation method for this class of models.

Results

We show that the stationary probability values of the attractors of stochastic (asynchronous) continuous time Boolean models can be exactly calculated. The calculation does not require Monte Carlo simul

SUBMITTER: Koltai M 

PROVIDER: S-EPMC7291460 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature