Game Theory Cancer Models of Cancer Cell-Stromal Cell Dynamics using Interacting Particle Systems

Yinan Zheng, Yusha Sun, G. Torga, K. Pienta, R. Austin
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引用次数: 2

Abstract

We describe an evolutionary game theory model that has been used to predict the population dynamics of interacting cancer and stromal cells. We first consider the mean field case assuming homogeneous and nondiscrete populations. Interacting Particle Systems (IPS) are then presented as a discrete and spatial alternative to the mean field approach. Finally, we discuss cases where IPS gives results different from the mean field approach.
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基于相互作用粒子系统的癌细胞-间质细胞动力学博弈论癌症模型
我们描述了一个进化博弈论模型,该模型已被用于预测相互作用的癌症和基质细胞的种群动态。我们首先考虑假设齐次和非离散总体的平均场情况。相互作用粒子系统(IPS)随后作为平均场方法的离散和空间替代方案提出。最后,我们讨论了IPS给出的结果与平均场方法不同的情况。
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