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Journal Abstract Search

131 related items for PubMed ID: 18640903

  • 1. A Hidden Markov Model approach to predicting yeast gene function from sequential gene expression data.
    Deng X, Geng H, Ali HH.
    Int J Bioinform Res Appl; 2008; 4(3):263-73. PubMed ID: 18640903
    [Abstract] [Full Text] [Related]

  • 2. Gene function prediction by a combined analysis of gene expression data and protein-protein interaction data.
    Xiao G, Pan W.
    J Bioinform Comput Biol; 2005 Dec; 3(6):1371-89. PubMed ID: 16374912
    [Abstract] [Full Text] [Related]

  • 3. Inferring network interactions within a cell.
    Carter GW.
    Brief Bioinform; 2005 Dec; 6(4):380-9. PubMed ID: 16420736
    [Abstract] [Full Text] [Related]

  • 4. Estimating time-dependent gene networks from time series microarray data by dynamic linear models with Markov switching.
    Yoshida R, Imoto S, Higuchi T.
    Proc IEEE Comput Syst Bioinform Conf; 2005 Dec; ():289-98. PubMed ID: 16447986
    [Abstract] [Full Text] [Related]

  • 5. Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network.
    Imoto S, Kim S, Goto T, Miyano S, Aburatani S, Tashiro K, Kuhara S.
    J Bioinform Comput Biol; 2003 Jul; 1(2):231-52. PubMed ID: 15290771
    [Abstract] [Full Text] [Related]

  • 6. A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data.
    Zou M, Conzen SD.
    Bioinformatics; 2005 Jan 01; 21(1):71-9. PubMed ID: 15308537
    [Abstract] [Full Text] [Related]

  • 7. A weighted power framework for integrating multisource information: gene function prediction in yeast.
    Ray SS, Bandyopadhyay S, Pal SK.
    IEEE Trans Biomed Eng; 2012 Apr 01; 59(4):1162-8. PubMed ID: 22318478
    [Abstract] [Full Text] [Related]

  • 8. Joint learning of gene functions--a Bayesian network model approach.
    Deng X, Geng H, Ali HH.
    J Bioinform Comput Biol; 2006 Apr 01; 4(2):217-39. PubMed ID: 16819781
    [Abstract] [Full Text] [Related]

  • 9. Reconstructing genetic networks in yeast.
    Zhang Z, Gerstein M.
    Nat Biotechnol; 2003 Nov 01; 21(11):1295-7. PubMed ID: 14595359
    [No Abstract] [Full Text] [Related]

  • 10. Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks.
    Imoto S, Higuchi T, Goto T, Tashiro K, Kuhara S, Miyano S.
    Proc IEEE Comput Soc Bioinform Conf; 2003 Nov 01; 2():104-13. PubMed ID: 16452784
    [Abstract] [Full Text] [Related]

  • 11. Prioritization of gene regulatory interactions from large-scale modules in yeast.
    Lee HJ, Manke T, Bringas R, Vingron M.
    BMC Bioinformatics; 2008 Jan 22; 9():32. PubMed ID: 18211684
    [Abstract] [Full Text] [Related]

  • 12. Functional Analysis and Characterization of Differential Coexpression Networks.
    Hsu CL, Juan HF, Huang HC.
    Sci Rep; 2015 Aug 18; 5():13295. PubMed ID: 26282208
    [Abstract] [Full Text] [Related]

  • 13. A bi-dimensional regression tree approach to the modeling of gene expression regulation.
    Ruan J, Zhang W.
    Bioinformatics; 2006 Feb 01; 22(3):332-40. PubMed ID: 16303796
    [Abstract] [Full Text] [Related]

  • 14. Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models.
    Hirose O, Yoshida R, Imoto S, Yamaguchi R, Higuchi T, Charnock-Jones DS, Print C, Miyano S.
    Bioinformatics; 2008 Apr 01; 24(7):932-42. PubMed ID: 18292116
    [Abstract] [Full Text] [Related]

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    [No Abstract] [Full Text] [Related]

  • 16. Quantitative characterization of the transcriptional regulatory network in the yeast cell cycle.
    Chen HC, Lee HC, Lin TY, Li WH, Chen BS.
    Bioinformatics; 2004 Aug 12; 20(12):1914-27. PubMed ID: 15044243
    [Abstract] [Full Text] [Related]

  • 17. A latent variable model for chemogenomic profiling.
    Flaherty P, Giaever G, Kumm J, Jordan MI, Arkin AP.
    Bioinformatics; 2005 Aug 01; 21(15):3286-93. PubMed ID: 15919724
    [Abstract] [Full Text] [Related]

  • 18. Closing the circle of osmoregulation.
    D'haeseleer P.
    Nat Biotechnol; 2005 Aug 01; 23(8):941-2. PubMed ID: 16082361
    [No Abstract] [Full Text] [Related]

  • 19. Dynamic algorithm for inferring qualitative models of gene regulatory networks.
    Yun Z, Keong KC.
    Proc IEEE Comput Syst Bioinform Conf; 2004 Aug 01; ():353-62. PubMed ID: 16448028
    [Abstract] [Full Text] [Related]

  • 20. Connectivity and expression in protein networks: proteins in a complex are uniformly expressed.
    Carmi S, Levanon EY, Havlin S, Eisenberg E.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Mar 01; 73(3 Pt 1):031909. PubMed ID: 16605560
    [Abstract] [Full Text] [Related]

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