Delayed continuous time Markov chains for genetic regulatory circuits

C.C. Guet, A. Gupta, T.A. Henzinger, M. Mateescu, A. Sezgin, in:, Springer, 2012, pp. 294–309.

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Conference Paper | Published | English
Series Title
LNCS
Abstract
Continuous-time Markov chains (CTMC) with their rich theory and efficient simulation algorithms have been successfully used in modeling stochastic processes in diverse areas such as computer science, physics, and biology. However, systems that comprise non-instantaneous events cannot be accurately and efficiently modeled with CTMCs. In this paper we define delayed CTMCs, an extension of CTMCs that allows for the specification of a lower bound on the time interval between an event's initiation and its completion, and we propose an algorithm for the computation of their behavior. Our algorithm effectively decomposes the computation into two stages: a pure CTMC governs event initiations while a deterministic process guarantees lower bounds on event completion times. Furthermore, from the nature of delayed CTMCs, we obtain a parallelized version of our algorithm. We use our formalism to model genetic regulatory circuits (biological systems where delayed events are common) and report on the results of our numerical algorithm as run on a cluster. We compare performance and accuracy of our results with results obtained by using pure CTMCs. © 2012 Springer-Verlag.
Publishing Year
Date Published
2012-07-01
Acknowledgement
This work was supported by the ERC Advanced Investigator grant on Quantitative Reactive Modeling (QUAREM) and by the Swiss National Science Foundation.
Volume
7358
Page
294 - 309
Conference
CAV: Computer Aided Verification
Conference Location
Berkeley, CA, USA
Conference Date
2012-07-07 – 2012-07-13
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Cite this

Guet CC, Gupta A, Henzinger TA, Mateescu M, Sezgin A. Delayed continuous time Markov chains for genetic regulatory circuits. In: Vol 7358. Springer; 2012:294-309. doi:10.1007/978-3-642-31424-7_24
Guet, C. C., Gupta, A., Henzinger, T. A., Mateescu, M., & Sezgin, A. (2012). Delayed continuous time Markov chains for genetic regulatory circuits (Vol. 7358, pp. 294–309). Presented at the CAV: Computer Aided Verification, Berkeley, CA, USA: Springer. https://doi.org/10.1007/978-3-642-31424-7_24
Guet, Calin C, Ashutosh Gupta, Thomas A Henzinger, Maria Mateescu, and Ali Sezgin. “Delayed Continuous Time Markov Chains for Genetic Regulatory Circuits,” 7358:294–309. Springer, 2012. https://doi.org/10.1007/978-3-642-31424-7_24.
C. C. Guet, A. Gupta, T. A. Henzinger, M. Mateescu, and A. Sezgin, “Delayed continuous time Markov chains for genetic regulatory circuits,” presented at the CAV: Computer Aided Verification, Berkeley, CA, USA, 2012, vol. 7358, pp. 294–309.
Guet CC, Gupta A, Henzinger TA, Mateescu M, Sezgin A. 2012. Delayed continuous time Markov chains for genetic regulatory circuits. CAV: Computer Aided Verification, LNCS, vol. 7358. 294–309.
Guet, Calin C., et al. Delayed Continuous Time Markov Chains for Genetic Regulatory Circuits. Vol. 7358, Springer, 2012, pp. 294–309, doi:10.1007/978-3-642-31424-7_24.

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