Reconstructing gene regulatory networks via memetic algorithm and LASSO based on recurrent neural networks-Reference-Cited by-同舟云学术

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Reconstructing gene regulatory networks via memetic algorithm and LASSO based on recurrent neural networks

Published:2019-07-03 Issue:6 Volume:24 Page:4205-4221
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Liu Luowen^ORCID,Liu Jing

Funder

the General Program of NSFC

the Key Program of Fundamental Research Project of Natural Science of Shaanxi Province, China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04185-y.pdf

Reference52 articles.

1. Acampora G, Pedrycz W, Vitiello A (2015) A competent memetic algorithm for learning fuzzy cognitive maps. IEEE Trans Fuzzy Syst 23(6):2397–2411

2. Alex G, Aviv M, Harry O, Richard B (2010) DREAM4: combining genetic and dynamic information to identify biological networks and dynamical models. PLoS ONE 5(10):e13397

3. Alhindi A, Alhindi A, Alhejali A, Alsheddy A, Tairan N, Alhakami H (2018) MOEA/D-GLS: a multiobjective memetic algorithm using decomposition and guided local search. Soft Comput. https://doi.org/10.1007/s00500-018-3524-z

4. Aliev RA, Fazlollahi B, Aliev RR, Guirimov B (2008) Linguistic time series forecasting using fuzzy recurrent neural network. Soft Comput 12(2):183–190

5. Ao SI, Ng MK (2006) Gene expression time series modeling with principal component and neural network. Soft Comput 10(4):351–358

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