On Robust State Estimation of Gene Networks

On Robust State Estimation of Gene Networks

Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direc...

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Main Authors: Chia-Hua Chuang, Chun-Liang Lin
Format: Article
Language:English
Published: SAGE Publishing 2010-01-01
Series:Biomedical Engineering and Computational Biology
Online Access:https://doi.org/10.1177/117959721000200001
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spelling doaj-d299d70f43504a3daff0b6669fe2db912020-11-25T03:56:01ZengSAGE PublishingBiomedical Engineering and Computational Biology1179-59722010-01-01210.1177/117959721000200001On Robust State Estimation of Gene NetworksChia-Hua Chuang0Chun-Liang Lin1Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan, ROC.Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan, ROC.Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direct measurement. This paper intends to develop a robust extended Kalman filter for state and parameter estimation of a class of gene network systems with uncertain process noises. Quantitative analysis of the estimation performance is conducted and some representative examples are provided for demonstration.https://doi.org/10.1177/117959721000200001
collection DOAJ
language English
format Article
sources DOAJ
author Chia-Hua Chuang
Chun-Liang Lin
spellingShingle Chia-Hua Chuang
Chun-Liang Lin
On Robust State Estimation of Gene Networks
Biomedical Engineering and Computational Biology
author_facet Chia-Hua Chuang
Chun-Liang Lin
author_sort Chia-Hua Chuang
title On Robust State Estimation of Gene Networks
title_short On Robust State Estimation of Gene Networks
title_full On Robust State Estimation of Gene Networks
title_fullStr On Robust State Estimation of Gene Networks
title_full_unstemmed On Robust State Estimation of Gene Networks
title_sort on robust state estimation of gene networks
publisher SAGE Publishing
series Biomedical Engineering and Computational Biology
issn 1179-5972
publishDate 2010-01-01
description Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direct measurement. This paper intends to develop a robust extended Kalman filter for state and parameter estimation of a class of gene network systems with uncertain process noises. Quantitative analysis of the estimation performance is conducted and some representative examples are provided for demonstration.
url https://doi.org/10.1177/117959721000200001
work_keys_str_mv AT chiahuachuang onrobuststateestimationofgenenetworks
AT chunlianglin onrobuststateestimationofgenenetworks
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