Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series-Reference-Cited by-同舟云学术

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Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series

Published:2016-01 Issue: Volume:175 Page:555-563
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Berrones Arturo,Jiménez Edgar,Alcorta-García María Aracelia,Almaguer F-Javier,Peña Brenda

Funder

the National Council of Science and Technology of Mexico

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. Bayesian Learning for Neural Networks;Neal,1996

2. Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling;Mazur;BMC Bioinform.,2009

3. Review on statistical methods for gene network reconstruction using expression data;Wang;J. Theor. Biol.,2014

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