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Exact stochastic simulation algorithms and impulses in biological systems
Date
2018-01-01
Author
Altıntan, Derya
Purutçuoğlu Gazi, Vilda
Metadata
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The stochastic model is the only sort of expressions which can capture the randomness of biological systems under different reactions. There are mainly three methods; Gillespie, first reaction and next reaction algorithms; for implementing exact stochastic simulations in these systems. Although these algorithms are successful in explaining the natural behaviors of the systems’ activation, they cannot describe the absurd changes, i.e., impulses. Moreover, the source codes in R are not available and open for all users. In this study, we produce these R codes and insert two major scenarios inside. In the application, we use distinct dimensional systems and compare their computational demands.
Subject Keywords
Tochastic simulations
,
Impulses
,
Chemical master equations
,
Biological systems
,
Bioinformatics
URI
https://hdl.handle.net/11511/71036
Journal
International Journal of Computational and Experimental Science and Engineering
DOI
https://doi.org/10.22399/ijcesen.405778
Collections
Department of Statistics, Article
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D. Altıntan and V. Purutçuoğlu Gazi, “Exact stochastic simulation algorithms and impulses in biological systems,”
International Journal of Computational and Experimental Science and Engineering
, pp. 41–47, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/71036.