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wnpx's expression [16 articles]

当前文献位于 wnpx's 文献库 标签分类为 expression. You can also see everyone's expression.
  • A New Approach to Analyzing Gene Expression Time Series Data
    by Ziv B Joseph, Georg Gerber, David K Gifford, Tommi S Jaakkola, Et
    posted to expression gene timeseries by wnpx on 2007-06-11 07:20:27 as ** along with 1 person dimatura
  • Importance of input perturbations and stochastic gene expression in the reverse engineering of genetic regulatory networks: insights from an identifiability analysis of an in silico network.
    Genome Res, Vol. 13, No. 11. (November 2003), pp. 2396-2405.
    by DE Zak, GE Gonye, JS Schwaber, FJ Doyle
  • How to infer gene networks from expression profiles
    Mol Syst Biol, Vol. 3 (13 February 2007)
    by Mukesh Bansal, Vincenzo Belcastro, Alberto Ambesi-Impiombato, Diego di Bernardo
  • notes Modelling gene expression data using dynamic Bayesian networks
    (1999)
    by Kevin Murphy, Saira Mian
  • Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data.
    Bioinformatics, Vol. 20, No. 12. (12 August 2004), pp. 1877-1886.
  • Reconciling gene expression data with known genome-scale regulatory network structures.
    Genome Res, Vol. 13, No. 11. (November 2003), pp. 2423-2434.
    by MJ Herrgård, MW Covert, BØ Palsson
    posted to network motif gene expression by wnpx on 2007-02-05 17:43:35 as ** along with 2 people opheliav tvdbulck
  • Comparing gene expression networks in a multi-dimensional space to extract similarities and differences between organisms.
    Bioinformatics (9 March 2006)
    by Gaëlle Lelandais, Pierre Vincens, Anne Badel-Chagnon, Stéphane Vialette, Claude Jacq, Serge Hazout
  • Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data.
    Bioinformatics, Vol. 22, No. 10. (15 May 2006), pp. 1259-1268.
    by D Huang, W Pan
    posted to clustering expression by wnpx on 2006-09-02 11:26:20 as **
  • A systematic comparison and evaluation of biclustering methods for gene expression data.
    Bioinformatics, Vol. 22, No. 9. (1 May 2006), pp. 1122-1129.
    posted to biclustering clustering expression by wnpx on 2006-09-02 11:25:27 as ** along with 1 person dps
  • A Bayesian regression approach to the inference of regulatory networks from gene expression data.
    Bioinformatics, Vol. 21, No. 14. (15 July 2005), pp. 3131-3137.
    posted to bayesian expression gene network regression regulation by wnpx on 2006-07-26 20:55:22 as **
  • Empirical bayes estimation of a sparse vector of gene expression changes.
    Stat Appl Genet Mol Biol, Vol. 4, No. 1. (2005)
    posted to bayes expression gene mcmc by wnpx on 2006-07-26 20:54:58 as **
  • Biomarker discovery in microarray gene expression data with Gaussian processes.
    Bioinformatics, Vol. 21, No. 16. (15 August 2005), pp. 3385-3393.
    by W Chu, Z Ghahramani, F Falciani, DL Wild
    posted to expression gaussianprocess gene by wnpx on 2006-07-26 20:54:36 as ** along with 2 people kentsis blackm0k
  • STOCHASTICITY IN GENE EXPRESSION: FROM THEORIES TO PHENOTYPES
    Nat Rev Genet, Vol. 6, No. 6. (June 2005), pp. 451-464.
    by Mads K[aelig]rn, Timothy C Elston, William J Blake, James J Collins
  • Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data.
    Nat Genet, Vol. 34, No. 2. (June 2003), pp. 166-176.
  • Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation -- Tamayo et al. 96 (6): 2907 -- Proceedings of the National Academy of Sciences
    Proc Natl Acad Sci U S A, Vol. 96, No. 6. (16 March 1999), pp. 2907-2912.
    by Pablo Tamayo, Donna Slonim, Jill Mesirov, Qing Zhudagger, Sutisak Kitareewandagger, Ethan Dmitrovskydagger, Eric S Lander, Todd R Golub
    posted to expression expressiondata gene som by wnpx on 2006-01-05 22:45:10 as **
  • Rich probabilistic models for gene expression.
    Bioinformatics, Vol. 17 Suppl 1 (2001)
    by E Segal, B Taskar, A Gasch, N Friedman, D Koller
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