TY - GEN
T1 - Efficient parameter identification for stochastic biochemical networks using a reduced-order realization
AU - Hori, Yutaka
AU - Khammash, Mustafa H.
AU - Hara, Shinji
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:84893288693
SN - 9783033039629
T3 - 2013 European Control Conference, ECC 2013
SP - 4154
EP - 4159
BT - 2013 European Control Conference, ECC 2013
T2 - 2013 12th European Control Conference, ECC 2013
Y2 - 17 July 2013 through 19 July 2013
ER -