These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


171 related items for PubMed ID: 15919724

  • 1. 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]

  • 2. Analysis of a Gibbs sampler method for model-based clustering of gene expression data.
    Joshi A, Van de Peer Y, Michoel T.
    Bioinformatics; 2008 Jan 15; 24(2):176-83. PubMed ID: 18033794
    [Abstract] [Full Text] [Related]

  • 3. Clustering of change patterns using Fourier coefficients.
    Kim J, Kim H.
    Bioinformatics; 2008 Jan 15; 24(2):184-91. PubMed ID: 18025003
    [Abstract] [Full Text] [Related]

  • 4. Incorporating gene functions as priors in model-based clustering of microarray gene expression data.
    Pan W.
    Bioinformatics; 2006 Apr 01; 22(7):795-801. PubMed ID: 16434443
    [Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. Novel technique for preprocessing high dimensional time-course data from DNA microarray: mathematical model-based clustering.
    Hakamada K, Okamoto M, Hanai T.
    Bioinformatics; 2006 Apr 01; 22(7):843-8. PubMed ID: 16434440
    [Abstract] [Full Text] [Related]

  • 7. Polynomial model approach for resynchronization analysis of cell-cycle gene expression data.
    Qiu P, Wang ZJ, Liu KJ.
    Bioinformatics; 2006 Apr 15; 22(8):959-66. PubMed ID: 16434439
    [Abstract] [Full Text] [Related]

  • 8. A mixture model with random-effects components for clustering correlated gene-expression profiles.
    Ng SK, McLachlan GJ, Wang K, Ben-Tovim Jones L, Ng SW.
    Bioinformatics; 2006 Jul 15; 22(14):1745-52. PubMed ID: 16675467
    [Abstract] [Full Text] [Related]

  • 9. Co-clustering and visualization of gene expression data and gene ontology terms for Saccharomyces cerevisiae using self-organizing maps.
    Brameier M, Wiuf C.
    J Biomed Inform; 2007 Apr 15; 40(2):160-73. PubMed ID: 16824804
    [Abstract] [Full Text] [Related]

  • 10. Model-based clustering on the unit sphere with an illustration using gene expression profiles.
    Dortet-Bernadet JL, Wicker N.
    Biostatistics; 2008 Jan 15; 9(1):66-80. PubMed ID: 17468207
    [Abstract] [Full Text] [Related]

  • 11. Correcting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights.
    Duan F, Zhang H.
    Bioinformatics; 2004 Jul 22; 20(11):1766-71. PubMed ID: 15166015
    [Abstract] [Full Text] [Related]

  • 12. Exploring the functional landscape of gene expression: directed search of large microarray compendia.
    Hibbs MA, Hess DC, Myers CL, Huttenhower C, Li K, Troyanskaya OG.
    Bioinformatics; 2007 Oct 15; 23(20):2692-9. PubMed ID: 17724061
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. goCluster integrates statistical analysis and functional interpretation of microarray expression data.
    Wrobel G, Chalmel F, Primig M.
    Bioinformatics; 2005 Sep 01; 21(17):3575-7. PubMed ID: 16020468
    [Abstract] [Full Text] [Related]

  • 15. Exploration of essential gene functions via titratable promoter alleles.
    Mnaimneh S, Davierwala AP, Haynes J, Moffat J, Peng WT, Zhang W, Yang X, Pootoolal J, Chua G, Lopez A, Trochesset M, Morse D, Krogan NJ, Hiley SL, Li Z, Morris Q, Grigull J, Mitsakakis N, Roberts CJ, Greenblatt JF, Boone C, Kaiser CA, Andrews BJ, Hughes TR.
    Cell; 2004 Jul 09; 118(1):31-44. PubMed ID: 15242642
    [Abstract] [Full Text] [Related]

  • 16. Digital quantitative measurements of gene expression.
    Mikkilineni V, Mitra RD, Merritt J, DiTonno JR, Church GM, Ogunnaike B, Edwards JS.
    Biotechnol Bioeng; 2004 Apr 20; 86(2):117-24. PubMed ID: 15052631
    [Abstract] [Full Text] [Related]

  • 17. DNA microarray analysis suggests that zinc pyrithione causes iron starvation to the yeast Saccharomyces cerevisiae.
    Yasokawa D, Murata S, Iwahashi Y, Kitagawa E, Kishi K, Okumura Y, Iwahashi H.
    J Biosci Bioeng; 2010 May 20; 109(5):479-86. PubMed ID: 20347771
    [Abstract] [Full Text] [Related]

  • 18. A Gibbs sampler for the identification of gene expression and network connectivity consistency.
    Brynildsen MP, Tran LM, Liao JC.
    Bioinformatics; 2006 Dec 15; 22(24):3040-6. PubMed ID: 17060361
    [Abstract] [Full Text] [Related]

  • 19. Comparison of transcriptional responses to osmotic stresses induced by NaCl and sorbitol additions in Saccharomyces cerevisiae using DNA microarray.
    Hirasawa T, Ashitani K, Yoshikawa K, Nagahisa K, Furusawa C, Katakura Y, Shimizu H, Shioya S.
    J Biosci Bioeng; 2006 Dec 15; 102(6):568-71. PubMed ID: 17270724
    [Abstract] [Full Text] [Related]

  • 20. Detecting functional modules in the yeast protein-protein interaction network.
    Chen J, Yuan B.
    Bioinformatics; 2006 Sep 15; 22(18):2283-90. PubMed ID: 16837529
    [Abstract] [Full Text] [Related]


    Page: [Next] [New Search]
    of 9.