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Cellular Neural Network Models Of Growth And Immune Of Effector Cells Response To Cancer

Author

Listed:
  • YONGMEI SU

    (School of Applied Science and School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China)

  • LEQUAN MIN

    (School of Applied Science and School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China)

Abstract

Four reaction-diffusion cellular neural network (R-D CNN) models are set up based on the differential equation models for the growths of effector cells and cancer cells, and the model of the immune response to cancer proposed by Allisonet al.The CNN models have different reaction-diffusion coefficients and coupling parameters. The R-D CNN models may provide possible quantitative interpretations, and are good in agreement with the in vitro experiment data reported by Allisonet al.

Suggested Citation

  • Yongmei Su & Lequan Min, 2006. "Cellular Neural Network Models Of Growth And Immune Of Effector Cells Response To Cancer," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 223-233.
    • Handle: RePEc:wsi:ijmpcx:v:17:y:2006:i:02:n:s0129183106008790
    DOI: 10.1142/S0129183106008790
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