Exact solving and sensitivity analysis of stochastic continuous time Boolean models

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. Moreo...

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Bibliographic Details
Main Authors: Mihály Koltai, Vincent Noel, Andrei Zinovyev, Laurence Calzone, Emmanuel Barillot
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Bioinformatics
Subjects:
Boolean modeling
Exact method
Stochastic model
Asynchronous updating
Steady state solution
Continuous time Markov chain
Online Access:http://link.springer.com/article/10.1186/s12859-020-03548-9

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http://link.springer.com/article/10.1186/s12859-020-03548-9

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