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A Literature Review on Stochastic Simulation Use these articles: Drawert B, Hellander A, Bales B, Banerjee D, Bellesia G, Daigle BJ Jr, et al. (2016) Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist. PLoS Comput Biol 12(12): e1005220. https://doi.org/10.1371/journal.pcbi.1005220 Kevin Y. Chen, Daniel M. Zuckerman, Philip C. Nelson; Stochastic Simulation to Visualize Gene Expression and Error Correction in Living Cells. The Biophysicist 1 January 2020; 1 (1): 3. doi: https://doi.org/10.35459/tbp.2019.000101 Michael T. Klann, Alexei Lapin, Matthias Reuss, Stochastic Simulation of Signal Transduction: Impact of the Cellular Architecture on Diffusion, Biophysical Journal, Volume 96, Issue 12,2009, Pages 5122-5129, ISSN 0006-3495, (https://www.sciencedirect.com/science/article/pii/S0006349509007784) Špaček, M., Půlpán, P., & Kopecký, Z. (2020). Management of business processes using stochastic simulation. In SHS Web of Conferences (Vol. 83, p. 01066). EDP Sciences. Hussain, S., Zeb, A., Rasheed, A., & Saeed, T. (2020). Stochastic mathematical model for the spread and control of Corona virus. Advances in Difference Equations, 2020(1), 1-11. Simoni, G., Reali, F., Priami, C., & Marchetti, L. (2019). Stochastic simulation algorithms for computational systems biology: Exact, approximate, and hybrid methods. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 11(6), e1459.