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.
Stochastic simulations Impulses Chemical master equations Biological systems Bioinformatics
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | July 2, 2018 |
Submission Date | March 14, 2018 |
Acceptance Date | June 4, 2018 |
Published in Issue | Year 2018 Volume: 4 Issue: 2 |