Inference of General Mass Action-Based State Equations for Oscillatory Biochemical Reaction Systems Using <i>k</i>-Step Genetic Programming

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.net/journal/am
E-mail: [email protected]

Citations

"Inference of General Mass Action-Based State Equations for Oscillatory Biochemical Reaction Systems Using k-Step Genetic Programming"
written by Tatsuya Sekiguchi, Hiroyuki Hamada, Masahiro Okamoto,
published by Applied Mathematics, Vol.10 No.8, 2019

has been cited by the following article(s):

[1]	Effective Finite-Difference Techniques for Estimating Sensitivities for Stochastic Biochemical Systems
	Applied Mathematics, 2022

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[1]	Efficient Parameter Estimation for Oscillatory Biochemical Reaction Networks via a Genetic Algorithm with Adaptive Simulation Termination AppliedMath, 2026 DOI:10.3390/appliedmath6030047

[2]	Effective Finite-Difference Techniques for Estimating Sensitivities for Stochastic Biochemical Systems Applied Mathematics, 2022 DOI:10.4236/am.2022.1311056