NDLI: System identification models for gene regulation system

Content Provider	IEEE Xplore Digital Library
Author	Wang Yong Zhang Xiang-Sun Katsuhisa, H. Chen Luonan
Copyright Year	2010
Description	Author affiliation: Key Laboratory of Systems Biology, SIBS-Novo Nordisk Translational Research Centre for PreDiabetes, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue-Yang Road, 200031, China (Chen Luonan) \|\| Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China (Wang Yong; Zhang Xiang-Sun) \|\| Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, 135-0064, Japan (Katsuhisa, H.)
Abstract	Recent bio-technologies enable us to successfully discover the functional organization of a cell by simultaneously measuring the dynamic change of concentrations of thousands of bio-molecules after specific perturbation. Such available input-output data offer system identification great chances and meanwhile challenges to build mathematical models of the dynamic transcriptional control system, which is fundamentally important in systems biology. Here, we propose a general mathematical framework to describe the real world of transcriptional control system and the related system identification problems. Then some existing models are briefly introduced within this unified framework to infer gene regulatory networks or transcriptional regulatory network by incorporating prior information both on network structure and heterogeneous data sources.
Starting Page	6239
Ending Page	6244
File Size	207984
Page Count	6
File Format	PDF
ISBN	9781424462636
e-ISBN	9787894631046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Association of Aut
Subject Keyword	Proteins Biological system modeling System Identification DNA Data models Mathematical model Gene Regulation System Equations Optimization
Content Type	Text
Resource Type	Article

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