Title :
Interactive identification based modelling of gene regulatory networks
Author :
Ding Jie ; Dong Chunrong
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
Gene regulatory network can be modeled by a class of complex and nonlinear model, in this paper, we consider the S-system model, special linearization technique is employed to tackle the S-system model, then the system is decomposed into two interactive subsystems. The recursive least square algorithm is applied to identify the parameters in both the two subsystems. A simulation is performed to verify the proposed algorithm, the results show that the estimated system can capture the original system.
Keywords :
genetics; identification; least squares approximations; linearisation techniques; network theory (graphs); gene regulatory networks; interactive identification based modelling; linearization technique; nonlinear model; recursive least square algorithm; s-system model; Bioinformatics; Biological system modeling; Electronic mail; Genetics; Mathematical model; Parameter estimation; Gene regulatory network; Linearization; Model estimation; S-system model;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161991