Estimation of protein networks for cell cycle in yeast based on least-squares method

Noriko Takahashi, Takehito Azuma, Shuichi Adachi

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

2 Citations (Scopus)

Abstract

In this paper, a new approach to estimation problems of protein networks is proposed, based on an idea of systems biology. Generally, it is difficult to estimate complicated networks by molecular biology. However, it will be possible to solve the difficulty by using the proposed approach. This approach is based on system identification using least-squares method for state-space models. Moreover, the proposed approach is applied to an estimation problem of protein networks for cell cycle in yeast. Nine proteins are selected from 48 proteins concerned with cell cycle in yeast, then 9-dimensional protein networks are estimated.

Original languageEnglish
Title of host publicationICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
Pages196-199
Number of pages4
Publication statusPublished - 2009 Dec 1
EventICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan
Duration: 2009 Aug 182009 Aug 21

Publication series

NameICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Other

OtherICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
CountryJapan
CityFukuoka
Period09/8/1809/8/21

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Keywords

  • Cell cycle
  • Least-squares method
  • Protein networks
  • System identification
  • Systems biology

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Takahashi, N., Azuma, T., & Adachi, S. (2009). Estimation of protein networks for cell cycle in yeast based on least-squares method. In ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings (pp. 196-199). [5333366] (ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings).