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PUBMED FOR HANDHELDS

Journal Abstract Search


339 related items for PubMed ID: 23702542

  • 1. 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; 10(1):37-49. PubMed ID: 23702542
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  • 3. Identification of genetic network dynamics with unate structure.
    Porreca R, Cinquemani E, Lygeros J, Ferrari-Trecate G.
    Bioinformatics; 2010 May 01; 26(9):1239-45. PubMed ID: 20305266
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  • 4. Inferring gene regulatory networks using differential evolution with local search heuristics.
    Noman N, Iba H.
    IEEE/ACM Trans Comput Biol Bioinform; 2007 May 01; 4(4):634-47. PubMed ID: 17975274
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  • 6. Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.
    Chen CK.
    Interdiscip Sci; 2018 Dec 01; 10(4):823-835. PubMed ID: 28748400
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  • 9. 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
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  • 11. SIN-KNO: A method of gene regulatory network inference using single-cell transcription and gene knockout data.
    Wang H, Lian Y, Li C, Ma Y, Yan Z, Dong C.
    J Bioinform Comput Biol; 2019 Dec 07; 17(6):1950035. PubMed ID: 32019417
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  • 12. A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets.
    Liu LZ, Wu FX, Zhang WJ.
    BMC Syst Biol; 2014 Dec 07; 8 Suppl 3(Suppl 3):S1. PubMed ID: 25350697
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  • 15. TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach.
    Zoppoli P, Morganella S, Ceccarelli M.
    BMC Bioinformatics; 2010 Mar 25; 11():154. PubMed ID: 20338053
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  • 16. Construction of gene networks with hybrid approach from expression profile and gene ontology.
    Jing L, Ng MK, Liu Y.
    IEEE Trans Inf Technol Biomed; 2010 Jan 25; 14(1):107-18. PubMed ID: 19789116
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  • 18. Reverse engineering genetic networks using nonlinear saturation kinetics.
    Kizhakkethil Youseph AS, Chetty M, Karmakar G.
    Biosystems; 2019 Aug 25; 182():30-41. PubMed ID: 31185246
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  • 19. Quantitative inference of dynamic regulatory pathways via microarray data.
    Chang WC, Li CW, Chen BS.
    BMC Bioinformatics; 2005 Mar 07; 6():44. PubMed ID: 15748298
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