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  4. Multi-scale hybrid and agent-based modeling of cell differentiation

Multi-scale hybrid and agent-based modeling of cell differentiation

MMC.
2023;
Volume 10, Number 3
: pp. 617–624
https://doi.org/10.23939/mmc2023.03.617
Received: February 16, 2023
Revised: July 12, 2023
Accepted: July 13, 2023

Mathematical Modeling and Computing, Vol. 10, No. 3, pp. 617–624 (2023)

Authors:
  1. M. Benmir
  2. K. Bellaj
  3. S. Boujena
  4. V. Volpert
1
Fundamental and Applied Mathematics Laboratory, Ain Chock Faculty of Sciences, Hassan II University
2
Fundamental and Applied Mathematics Laboratory, Ain Chock Faculty of Sciences, Hassan II University
3
Fundamental and Applied Mathematics Laboratory, Ain Chock Faculty of Sciences, Hassan II University
4
Camille Jordan Institute, UMR 5208 CNRS, University Lyon 1

In this work we propose a hybrid model of cell population dynamics, where cells are considered as discrete elements whose dynamics depending on the intracellular and extracellular regulation. The model takes into account different cell types which include undifferentiated cells and two types of differentiated cells. We use a simulation algorithm based on the dynamical systems approach on the one hand, and the multi-agent approach on the other hand.  Both approaches have been implemented using NetLogo and Python. We discuss cell choice between two types of differentiated cells and analyze the coexistence of cell lineages.

cell differentiation
multi-scale hybrid model
multi-agents simulation
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