A new approach to estimation of protein networks for cell cycle based on least-squares method

Takehito Azuma, Masachika Kurata, Noriko Takahashi, Shuichi Adachi

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

Abstract

This article considers a method to estimate protein networks for cell cycle based on system identification in control engineering. The approach provides a new approach to estimation problems of protein networks for cell cycle in systems biology. First the considered estimation problems of protein networks are defined. Second our approach based on least-squares method is shown. Finally by applying the proposed approach in a numerical example, a protein network of 6-dimensional cell cycle systems is estimated and this network consists of some known protein network for 6-dimensional cell cycle systems.

Original languageEnglish
Title of host publicationNew Developments and Applications in Sensing Technology
Pages321-331
Number of pages11
DOIs
Publication statusPublished - 2011 Feb 7
Event4th International Conference on Sensing Technology, ICST 2010 - Leece, Italy
Duration: 2010 Jun 32010 Jun 5

Publication series

NameLecture Notes in Electrical Engineering
Volume83 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other4th International Conference on Sensing Technology, ICST 2010
CountryItaly
CityLeece
Period10/6/310/6/5

Keywords

  • Systems biology
  • cell cycle
  • estimation
  • least squares method
  • protein networks

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'A new approach to estimation of protein networks for cell cycle based on least-squares method'. Together they form a unique fingerprint.

  • Cite this

    Azuma, T., Kurata, M., Takahashi, N., & Adachi, S. (2011). A new approach to estimation of protein networks for cell cycle based on least-squares method. In New Developments and Applications in Sensing Technology (pp. 321-331). (Lecture Notes in Electrical Engineering; Vol. 83 LNEE). https://doi.org/10.1007/978-3-642-17943-3_17