Estimation of protein networks based on least squares method for pseudo-periodic signals

Noriko Takahashi, Takehito Azuma, Mayumi Ito, Shuichi Adachi

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

Abstract

In this paper, a new approach to estimation problems of protein networks is proposed for systems biology. Generally, it is difficult to estimate complicated networks in molecular biology. In order to estimate complicated networks systematically, it is considered to estimate the networks based on system identification in control engineering. Considering that wave patterns of proteins are pseudo- periodic, the protein networks are estimated by the least- squares estimation method. In this method, the networks can be estimated by using just 1 cycle data of protein concentrations. Moreover, this method is applied to an estimation problem of protein networks for cell cycle in yeast, and 9-dimensional protein networks are actually estimated.

Original languageEnglish
Title of host publicationProceedings of the 13th IASTED International Conference on Intelligent Systems and Control, ISC 2011
Pages48-54
Number of pages7
DOIs
Publication statusPublished - 2011 Nov 9
Event13th IASTED International Conference on Intelligent Systems and Control, ISC 2011 - Cambridge, United Kingdom
Duration: 2011 Jul 112011 Jul 13

Publication series

NameProceedings of the IASTED International Conference on Intelligent Systems and Control
ISSN (Print)1025-8973

Other

Other13th IASTED International Conference on Intelligent Systems and Control, ISC 2011
Country/TerritoryUnited Kingdom
CityCambridge
Period11/7/1111/7/13

Keywords

  • Cell cycle
  • Identification
  • Least-squares method
  • Protein networks
  • Systems biology

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Modelling and Simulation
  • Artificial Intelligence

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