Abstract
Living organisms, as well as their functional blocks, are complex systems. From this follows that for their deep understanding it is necessary to use systems methods for their analysis. The basis for such an analysis is a precise mathematical model. It seems that models expressed as Petri nets are especially promising in the area of modeling and analysis of biological systems. In this paper a Petri net based approach for such an analysis is presented on the example of a complex process of atherosclerosis development. Classic methods of analysis based on MCT sets and t-clusters were used. Additionally, extended methods of analysis such as significance analysis and knockout analysis were applied. Significance analysis can be used to determine which elementary subprocesses are key to the functioning of the modeled system, while knockout analysis can be used to confirm the results of the significance analysis.
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Acknowledgement
This research has been partially supported by the National Science Centre (Poland) grant No. 2012/07/B/ST6/01537 and by the statutory funds of Poznan University of Technology.
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Gutowska, K., Formanowicz, D., Formanowicz, P. (2020). Systems Approach Based on Petri Nets as a Method for Modeling and Analysis of Complex Biological Systems Presented on the Example of Atherosclerosis Development Process. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_49
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DOI: https://doi.org/10.1007/978-3-030-50936-1_49
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