Stationary and oscillatory fronts in a two-component genetic regulatory network model

Physica D Nonlinear Phenomena ◽

10.1016/j.physd.2010.04.009 ◽

2010 ◽

Vol 239 (17) ◽

pp. 1650-1661 ◽

Author(s):

Heather Hardway ◽

Yue-Xian Li

Keyword(s):

Network Model ◽

Regulatory Network ◽

Genetic Regulatory Network ◽

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Calibration and validation of a genetic regulatory network model describing the production of the protein Hunchback in Drosophila early development

Comptes Rendus Biologies ◽

10.1016/j.crvi.2010.09.003 ◽

2010 ◽

Vol 333 (11-12) ◽

pp. 779-788 ◽

Author(s):

Rui Dilão ◽

Daniele Muraro

Keyword(s):

Early Development ◽

Network Model ◽

Regulatory Network ◽

Genetic Regulatory Network ◽

Calibration And Validation

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Distribution of fitness effects of mutations obtained from a simple genetic regulatory network model

Scientific Reports ◽

10.1038/s41598-019-46401-7 ◽

2019 ◽

Vol 9 (1) ◽

Author(s):

R. G. Brajesh ◽

Dibyendu Dutta ◽

Supreet Saini

Keyword(s):

Network Model ◽

Regulatory Network ◽

Genetic Regulatory Network ◽

Fitness Effects

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Evolution of small-world topologies in an artificial genetic regulatory network model

2012 8th International Conference on Natural Computation ◽

10.1109/icnc.2012.6234700 ◽

2012 ◽

Author(s):

Xianghong Lin ◽

Weiyi Wei ◽

Guozhi Zhang

Keyword(s):

Network Model ◽

Regulatory Network ◽

Small World ◽

Genetic Regulatory Network

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A New Artificial Genetic Regulatory Network Model and its Application in Two Dimensional Robot Control

International Journal of Information and Electronics Engineering ◽

10.7763/ijiee.2013.v3.358 ◽

2013 ◽

Author(s):

Navid Rahbari Asr ◽

Vahid Johari Majd

Keyword(s):

Network Model ◽

Regulatory Network ◽

Robot Control ◽

Genetic Regulatory Network ◽

Two Dimensional

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A simpler bayesian network model for genetic regulatory network inference

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. ◽

10.1109/ijcnn.2005.1555847 ◽

2006 ◽

Author(s):

G. Bastos ◽

K.S. Guimaraes

Keyword(s):

Bayesian Network ◽

Network Model ◽

Regulatory Network ◽

Network Inference ◽

Genetic Regulatory Network ◽

Bayesian Network Model

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Hopf bifurcation analysis of a delayed fractional-order genetic regulatory network model

Neurocomputing ◽

10.1016/j.neucom.2017.09.018 ◽

2018 ◽

Vol 275 ◽

pp. 677-686 ◽

Author(s):

Binbin Tao ◽

Min Xiao ◽

Qingshan Sun ◽

Jinde Cao

Keyword(s):

Hopf Bifurcation ◽

Fractional Order ◽

Network Model ◽

Bifurcation Analysis ◽

Regulatory Network ◽

Genetic Regulatory Network

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Inference of a genetic regulatory network model from limited time series data

2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) ◽

10.1109/gensips.2011.6169470 ◽

2011 ◽

Author(s):

Saad Haider ◽

Ranadip Pal

Keyword(s):

Time Series ◽

Network Model ◽

Regulatory Network ◽

Time Series Data ◽

Genetic Regulatory Network ◽

Series Data ◽

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Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence

10.1016/j.biosystems.2006.01.004 ◽

2006 ◽

Vol 85 (3) ◽

pp. 177-200 ◽

Author(s):

P. Dwight Kuo ◽

Wolfgang Banzhaf ◽

André Leier

Keyword(s):

Network Model ◽

Network Topology ◽

Regulatory Network ◽

Whole Genome Duplication ◽

Genome Duplication ◽

Genetic Regulatory Network ◽

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Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model

Advances in Neural Networks – ISNN 2013 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-39065-4_2 ◽

2013 ◽

pp. 9-18

Author(s):

Xianghong Lin ◽

Zhiqiang Li

Keyword(s):

Network Model ◽

Regulatory Network ◽

Genetic Regulatory Network

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Parameter identification of genetic regulatory network with time-varying delays via adaptive synchronization method

Advances in Difference Equations ◽

10.1186/s13662-020-2537-y ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

Chunlin Liu ◽

Fei Wang

Keyword(s):

Parameter Identification ◽

Regulatory Network ◽

Genetic Regulatory Network ◽

Adaptive Synchronization ◽

Time Varying ◽

Synchronization Method

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