Efficient parameter identification for stochastic biochemical networks using a reduced-order realization

Yutaka Hori, Mustafa H. Khammash, Shinji Hara

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

5 Citations (Scopus)

Abstract

In this paper, we propose a parameter identification method for stochastic biochemical reaction networks using flow cytometry data. A distinctive feature of the proposed method is that it is computationally efficient compared to existing works, thus it is applicable to complex biochemical networks. To this end, we first show that it is possible to construct a significantly small-order realization of the stochastic biochemical system using flow cytometry measurements. Then, the small-order realization is utilized for the development of the efficient identification method. Finally, the proposed method is demonstrated with an existing biological example.

Original languageEnglish
Title of host publication2013 European Control Conference, ECC 2013
Pages4154-4159
Number of pages6
Publication statusPublished - 2013 Dec 1
Externally publishedYes
Event2013 12th European Control Conference, ECC 2013 - Zurich, Switzerland
Duration: 2013 Jul 172013 Jul 19

Publication series

Name2013 European Control Conference, ECC 2013

Other

Other2013 12th European Control Conference, ECC 2013
CountrySwitzerland
CityZurich
Period13/7/1713/7/19

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Efficient parameter identification for stochastic biochemical networks using a reduced-order realization'. Together they form a unique fingerprint.

  • Cite this

    Hori, Y., Khammash, M. H., & Hara, S. (2013). Efficient parameter identification for stochastic biochemical networks using a reduced-order realization. In 2013 European Control Conference, ECC 2013 (pp. 4154-4159). [6669455] (2013 European Control Conference, ECC 2013).