Estimation and robustness analysis of protein networks for cell cycle systems

Takehito Azuma, Masachika Kurata, Noriko Takahashi, Shuichi Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes an estimation problem of protein networks for cell cycle and their robustness analysis. Our proposed method is explained to estimate a protein network for cell cycle based on system identification techniques. The method is based on the least-squares method for state space models. Applying the method, a 6-dimensional protein network is estimated for cell cycle to demonstrate the efficacy of our proposed method. The estimated protein network is called as 6-dimensional cell cycle system and the cell cycle system is described as nonlinear differential equations. Moreover robustness analysis and numerical simulations are performed for the cell cycle system described as nonlinear differential equations. From these results, robustness of the cell cycle system is discussed.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Control Applications, CCA 2010
Pages512-517
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 IEEE International Conference on Control Applications, CCA 2010 - Yokohama, Japan
Duration: 2010 Sep 82010 Sep 10

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other2010 IEEE International Conference on Control Applications, CCA 2010
CountryJapan
CityYokohama
Period10/9/810/9/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

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  • Cite this

    Azuma, T., Kurata, M., Takahashi, N., & Adachi, S. (2010). Estimation and robustness analysis of protein networks for cell cycle systems. In 2010 IEEE International Conference on Control Applications, CCA 2010 (pp. 512-517). [5611122] (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2010.5611122