873 related articles for article (PubMed ID: 28748400)
1. Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.
Chen CK
Interdiscip Sci; 2018 Dec; 10(4):823-835. PubMed ID: 28748400
[TBL] [Abstract][Full Text] [Related]
2. Inference of gene networks from gene expression time series using recurrent neural networks and sparse MAP estimation.
Chen CK
J Bioinform Comput Biol; 2018 Aug; 16(4):1850009. PubMed ID: 30051742
[TBL] [Abstract][Full Text] [Related]
3. MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data.
Yang B; Xu Y; Maxwell A; Koh W; Gong P; Zhang C
BMC Syst Biol; 2018 Dec; 12(Suppl 7):115. PubMed ID: 30547796
[TBL] [Abstract][Full Text] [Related]
4. Recurrent neural network-based modeling of gene regulatory network using elephant swarm water search algorithm.
Mandal S; Saha G; Pal RK
J Bioinform Comput Biol; 2017 Aug; 15(4):1750016. PubMed ID: 28659000
[TBL] [Abstract][Full Text] [Related]
5. Reverse engineering module networks by PSO-RNN hybrid modeling.
Zhang Y; Xuan J; de los Reyes BG; Clarke R; Ressom HW
BMC Genomics; 2009 Jul; 10 Suppl 1(Suppl 1):S15. PubMed ID: 19594874
[TBL] [Abstract][Full Text] [Related]
6. A Bi-Objective RNN Model to Reconstruct Gene Regulatory Network: A Modified Multi-Objective Simulated Annealing Approach.
Biswas S; Acharyya S
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(6):2053-2059. PubMed ID: 29990170
[TBL] [Abstract][Full Text] [Related]
7. Recurrent neural network based hybrid model for reconstructing gene regulatory network.
Raza K; Alam M
Comput Biol Chem; 2016 Oct; 64():322-334. PubMed ID: 27570069
[TBL] [Abstract][Full Text] [Related]
8. Inference of genetic regulatory networks with recurrent neural network models using particle swarm optimization.
Xu R; Wunsch Ii D; Frank R
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(4):681-92. PubMed ID: 17975278
[TBL] [Abstract][Full Text] [Related]
9. Inferring network interactions using recurrent neural networks and swarm intelligence.
Ressom HW; Zhang Y; Xuan J; Wang Y; Clarke R
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4241-4. PubMed ID: 17946231
[TBL] [Abstract][Full Text] [Related]
10. Gene regulatory networks on transfer entropy (GRNTE): a novel approach to reconstruct gene regulatory interactions applied to a case study for the plant pathogen Phytophthora infestans.
Castro JC; Valdés I; Gonzalez-García LN; Danies G; Cañas S; Winck FV; Ñústez CE; Restrepo S; Riaño-Pachón DM
Theor Biol Med Model; 2019 Apr; 16(1):7. PubMed ID: 30961611
[TBL] [Abstract][Full Text] [Related]
11. A swarm intelligence framework for reconstructing gene networks: searching for biologically plausible architectures.
Kentzoglanakis K; Poole M
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(2):358-71. PubMed ID: 21576756
[TBL] [Abstract][Full Text] [Related]
12. Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization.
Xu R; Venayagamoorthy GK; Wunsch DC
Neural Netw; 2007 Oct; 20(8):917-27. PubMed ID: 17714912
[TBL] [Abstract][Full Text] [Related]
13. A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps.
Liu J; Chi Y; Zhu C; Jin Y
BMC Bioinformatics; 2017 May; 18(1):241. PubMed ID: 28482795
[TBL] [Abstract][Full Text] [Related]
14. Inferring nonlinear gene regulatory networks from gene expression data based on distance correlation.
Guo X; Zhang Y; Hu W; Tan H; Wang X
PLoS One; 2014; 9(2):e87446. PubMed ID: 24551058
[TBL] [Abstract][Full Text] [Related]
15. Inference of Gene Regulatory Network Based on Local Bayesian Networks.
Liu F; Zhang SW; Guo WF; Wei ZG; Chen L
PLoS Comput Biol; 2016 Aug; 12(8):e1005024. PubMed ID: 27479082
[TBL] [Abstract][Full Text] [Related]
16. Reverse engineering genetic networks using nonlinear saturation kinetics.
Kizhakkethil Youseph AS; Chetty M; Karmakar G
Biosystems; 2019 Aug; 182():30-41. PubMed ID: 31185246
[TBL] [Abstract][Full Text] [Related]
17. Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks.
Monti M; Fiorentino J; Milanetti E; Gosti G; Tartaglia GG
Entropy (Basel); 2022 Jan; 24(2):. PubMed ID: 35205437
[TBL] [Abstract][Full Text] [Related]
18. Novel recurrent neural network for modelling biological networks: oscillatory p53 interaction dynamics.
Ling H; Samarasinghe S; Kulasiri D
Biosystems; 2013 Dec; 114(3):191-205. PubMed ID: 24012741
[TBL] [Abstract][Full Text] [Related]
19. A new asynchronous parallel algorithm for inferring large-scale gene regulatory networks.
Xiao X; Zhang W; Zou X
PLoS One; 2015; 10(3):e0119294. PubMed ID: 25807392
[TBL] [Abstract][Full Text] [Related]
20. Weighted-LASSO for structured network inference from time course data.
Charbonnier C; Chiquet J; Ambroise C
Stat Appl Genet Mol Biol; 2010; 9():Article 15. PubMed ID: 20196750
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
