NDLI: Modeling genetic regulatory networks: a delay discrete dynamical model approach

Content Provider	Springer Nature Link
Author	Jiang, Hao Ching, Wai Ki Aoki Kishita, Kiyoko F. Guo, Dianjing
Copyright Year	2012
Abstract	Modeling genetic regulatory networks is an important research topic in genomic research and computational systems biology. This paper considers the problem of constructing a genetic regulatory network (GRN) using the discrete dynamic system (DDS) model approach. Although considerable research has been devoted to building GRNs, many of the works did not consider the time-delay effect. Here, the authors propose a time-delay DDS model composed of linear difference equations to represent temporal interactions among significantly expressed genes. The authors also introduce interpolation scheme and re-sampling method for equalizing the non-uniformity of sampling time points. Statistical significance plays an active role in obtaining the optimal interaction matrix of GRNs. The constructed genetic network using linear multiple regression matches with the original data very well. Simulation results are given to demonstrate the effectiveness of the proposed method and model.
Starting Page	1052
Ending Page	1067
Page Count	16
File Format	PDF
ISSN	10096124
Journal	Journal of Systems Science and Complexity
Volume Number	25
Issue Number	6
e-ISSN	15597067
Language	English
Publisher	Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Publisher Date	2012-12-29
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Delay effect discrete dynamic system model genetic regulatory networks k-means clustering method linear multiple regression Systems Theory, Control Operations Research/Decision Theory Mathematics of Computing Statistical Physics, Dynamical Systems and Complexity Statistics
Content Type	Text
Resource Type	Article
Subject	Information Systems

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