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Commentary Open Access
Volume 3 | Issue 1 | DOI: https://doi.org/10.46439/stemcell.3.016

Considering Taguchi method as a feature selection method in agent-based models of cancer disease: A mini-review

  • 1Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
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Corresponding Author

Mina Lagzian, m.lagzian62@gmail.com

Received Date: October 19, 2022

Accepted Date: October 27, 2022

Abstract

Cancer biology involves complex dynamics and interactions between cells and the tissue environment. Mathematical modeling and computer simulation can provide a powerful instrument for considering this complexity. Agent-based modeling is a particular discrete hybrid modeling method. Because of their ability to model heterogeneity of cancerous tumors, this modeling has particular importance. For proposing this kind of model need important features. In this mini-review we consider Taguchi method in features selection and its applications in cancer biology.

Keywords

Computational cancer modeling, Agent-based models, Multi-agent systems, Features selection

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