This hybrid modelling method is able to quantitatively investigate the middle-sized or large-sized biological networks by merging the advantages of both ...
Oct 22, 2024 · Modeling of these networks is an important challenge to be addressed in the post genomic era. Several methods have been proposed for estimating ...
The experimental results on two data sets studied in this paper demonstrate that the DEPSO algorithm performs better in RNN training. Also, the RNN-based model ...
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Feb 13, 2013 · Throughout the results section, the hybrid regulatory model has three free parameters per gene, corresponding to the kinetic parameters in ...
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Nov 18, 2021 · Hybrid models of genetic regulatory networks allow for a simpler analysis with respect to fully detailed quantitative models, ...
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A new hybrid evolutionary–swarm algorithm DEPSO, based on the combined concepts of PSO and DE, is presented to address the challenge of training these RNNs.
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Oct 31, 2007 · We recall in section 2 the principles of dis- crete modelling for genetic regulatory networks. General principles of hybrid modelling are ...
May 29, 2024 · We present some fundamental considerations to develop and analyze a model of a gene regulatory circuit of interest, either representing a natural, synthetic, ...
We present a method for the hybrid modeling and simulation of genetic regulatory networks, based on a class of piecewise-linear (PL) differential equations that ...
Genetic regulatory networks (GRNs), which consist of DNA, RNA, little molecules, proteins, and the regulatory interactions among them.