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Volumn 58, Issue 12 PART 2, 2011, Pages 3518-3521

Reconstructing directed signed gene regulatory network from microarray data

Author keywords

Bioinformatics; biological system modeling

Indexed keywords

BIOLOGICAL HYPOTHESIS; BIOLOGICAL SYSTEM MODELING; COMBINATORIAL COMPLEXITY; EXPRESSION DATA; GENE NETWORKS; GENE REGULATORY NETWORKS; GENE-KNOCKOUT EXPERIMENTS; HIGHER NETWORKS; MATHEMATICAL FORMS; MICROARRAY DATA; NETWORK RECONSTRUCTION; NEW MODEL; PROTEIN SYNTHESIS; RECONSTRUCTION ALGORITHMS; RECONSTRUCTION PROBLEMS; SIMULATION SYSTEMS;

EID: 82155195626     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2163188     Document Type: Article
Times cited : (10)

References (11)
  • 1
    • 0036184629 scopus 로고    scopus 로고
    • Probabilistic boolean networks: A rule-based uncertainty model for gene regulatory networks
    • I. Shmulevich, E. R. Dougherty, S. Kim, and W. Zhang, "Probabilistic boolean networks: A rule-based uncertainty model for gene regulatory networks," Bioinformatics, vol. 18, no. 2, pp. 261-264, 2002
    • (2002) Bioinformatics , vol.18 , Issue.2 , pp. 261-264
    • Shmulevich, I.1    Dougherty, E.R.2    Kim, S.3    Zhang, W.4
  • 2
    • 0033655775 scopus 로고    scopus 로고
    • Mutual information relevance networks: Functional genomic clustering using pairwise entropy measurements
    • A. J. Butte and L. S. Kohane, "Mutual information relevance networks: Functional genomic clustering using pairwise entropy measurements," in Proc. Pacific Symp. Biocomput., 2000, vol. 4, pp. 418-429
    • (2000) Proc. Pacific Symp. Biocomput , vol.4 , pp. 418-429
    • Butte, A.J.1    Kohane, L.S.2
  • 3
    • 25144501141 scopus 로고    scopus 로고
    • A Bayesian regression approach to the inference of regulatory networks from gene expression data
    • DOI 10.1093/bioinformatics/bti487
    • S. Rogers and M. Girolami, "A bayesian regression approach to the inference of regulatory networks from gene expression data," Bioinformatics, vol. 21, no. 14, pp. 3131-3137, 2005 (Pubitemid 41418466)
    • (2005) Bioinformatics , vol.21 , Issue.14 , pp. 3131-3137
    • Rogers, S.1    Girolami, M.2
  • 5
    • 59649110273 scopus 로고    scopus 로고
    • Generating realistic in silico gene networks for performance assessment of reverse engineering methods
    • D. Marbach, T. Schaffter, C. Mattiussi, and D. Floreano, "Generating realistic in silico gene networks for performance assessment of reverse engineering methods," J. Comput. Biol., vol. 16, no. 2, pp. 229-239, 2009
    • (2009) J. Comput. Biol. , vol.16 , Issue.2 , pp. 229-239
    • Marbach, D.1    Schaffter, T.2    Mattiussi, C.3    Floreano, D.4
  • 6
    • 62549091023 scopus 로고    scopus 로고
    • Benchmarking regulatory network reconstruction with grendel
    • B. C. Haynes and M. R. Brent, "Benchmarking regulatory network reconstruction with grendel," Bioinformatics, vol. 25, no. 6, pp. 801-807, 2009
    • (2009) Bioinformatics , vol.25 , Issue.6 , pp. 801-807
    • Haynes, B.C.1    Brent, M.R.2
  • 7
    • 0003043542 scopus 로고
    • The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves
    • A. V. Hill, "The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves," J. Physiol., vol. 40, pp. 4-7, 1910
    • (1910) J. Physiol. , vol.40 , pp. 4-7
    • Hill, A.V.1
  • 9
    • 61449181084 scopus 로고    scopus 로고
    • Fast calculation of pairwise mutual information for gene regulatory network reconstruction
    • P. Qiu, A. J. Gentles, and S. K. Plevritis, "Fast calculation of pairwise mutual information for gene regulatory network reconstruction," Comput. Methods Programs Biomed., vol. 94, pp. 177-180, 2009
    • (2009) Comput. Methods Programs Biomed. , vol.94 , pp. 177-180
    • Qiu, P.1    Gentles, A.J.2    Plevritis, S.K.3
  • 10
    • 77249113807 scopus 로고    scopus 로고
    • Reducing the computational complexity of information theoretic approaches for reconstructing gene regulatory networks
    • P. Qiu, A. Gentles, and S. K. Plevritis, "Reducing the computational complexity of information theoretic approaches for reconstructing gene regulatory networks," J. Comput. Biol., vol. 17, no. 2, pp. 169-176, 2010
    • (2010) J. Comput. Biol. , vol.17 , Issue.2 , pp. 169-176
    • Qiu, P.1    Gentles, A.2    Plevritis, S.K.3
  • 11
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • DOI 10.1162/15324430152748236
    • M. Tipping, "Sparse bayesian learning and the relevance vector machine," J. Mach. Learning Res., vol. 1, pp. 211-244, 2001 (Pubitemid 33687203)
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.3 , pp. 211-244
    • Tipping, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.