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Journal Abstract Search

210 related items for PubMed ID: 27093908

  • 1. Inferring gene regulatory networks using a time-delayed mass action model.
    Zhao Y, Jiang M, Chen Y.
    J Bioinform Comput Biol; 2016 Aug; 14(4):1650012. PubMed ID: 27093908
    [Abstract] [Full Text] [Related]

  • 2. 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 14; 12(Suppl 7):115. PubMed ID: 30547796
    [Abstract] [Full Text] [Related]

  • 3. Reverse engineering genetic networks using nonlinear saturation kinetics.
    Kizhakkethil Youseph AS, Chetty M, Karmakar G.
    Biosystems; 2019 Aug 14; 182():30-41. PubMed ID: 31185246
    [Abstract] [Full Text] [Related]

  • 4. Incorporating time-delays in S-System model for reverse engineering genetic networks.
    Chowdhury AR, Chetty M, Vinh NX.
    BMC Bioinformatics; 2013 Jun 18; 14():196. PubMed ID: 23777625
    [Abstract] [Full Text] [Related]

  • 5. Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.
    Chen CK.
    Interdiscip Sci; 2018 Dec 18; 10(4):823-835. PubMed ID: 28748400
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  • 7. Inferring Gene Regulatory Networks in the Arabidopsis Root Using a Dynamic Bayesian Network Approach.
    de Luis Balaguer MA, Sozzani R.
    Methods Mol Biol; 2017 Dec 18; 1629():331-348. PubMed ID: 28623595
    [Abstract] [Full Text] [Related]

  • 8. 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 07; 10 Suppl 1(Suppl 1):S15. PubMed ID: 19594874
    [Abstract] [Full Text] [Related]

  • 9. Periodic synchronization of isolated network elements facilitates simulating and inferring gene regulatory networks including stochastic molecular kinetics.
    Hettich J, Gebhardt JCM.
    BMC Bioinformatics; 2022 Jan 05; 23(1):13. PubMed ID: 34986805
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  • 14. A sparse and decomposed particle swarm optimization for inferring gene regulatory networks based on fuzzy cognitive maps.
    Liu L, Liu J.
    J Bioinform Comput Biol; 2019 Aug 05; 17(4):1950023. PubMed ID: 31617458
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  • 16. Growing seed genes from time series data and thresholded Boolean networks with perturbation.
    Higa CH, Andrade TP, Hashimoto RF.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Aug 05; 10(1):37-49. PubMed ID: 23702542
    [Abstract] [Full Text] [Related]

  • 17. A new asynchronous parallel algorithm for inferring large-scale gene regulatory networks.
    Xiao X, Zhang W, Zou X.
    PLoS One; 2015 Aug 05; 10(3):e0119294. PubMed ID: 25807392
    [Abstract] [Full Text] [Related]

  • 18. 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 05; 16(4):1850009. PubMed ID: 30051742
    [Abstract] [Full Text] [Related]

  • 19. A hybrid framework for reverse engineering of robust Gene Regulatory Networks.
    Jafari M, Ghavami B, Sattari V.
    Artif Intell Med; 2017 Jun 05; 79():15-27. PubMed ID: 28602483
    [Abstract] [Full Text] [Related]

  • 20. Inference of Large-scale Time-delayed Gene Regulatory Network with Parallel MapReduce Cloud Platform.
    Yang B, Bao W, Huang DS, Chen Y.
    Sci Rep; 2018 Dec 12; 8(1):17787. PubMed ID: 30542062
    [Abstract] [Full Text] [Related]

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