BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

184 related articles for article (PubMed ID: 15585528)

  • 1. Characterizing the dynamic connectivity between genes by variable parameter regression and Kalman filtering based on temporal gene expression data.
    Cui Q; Liu B; Jiang T; Ma S
    Bioinformatics; 2005 Apr; 21(8):1538-41. PubMed ID: 15585528
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reconstructing biological networks using conditional correlation analysis.
    Rice JJ; Tu Y; Stolovitzky G
    Bioinformatics; 2005 Mar; 21(6):765-73. PubMed ID: 15486043
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Constructing and analyzing a large-scale gene-to-gene regulatory network--lasso-constrained inference and biological validation.
    Gustafsson M; Hörnquist M; Lombardi A
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(3):254-61. PubMed ID: 17044188
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Differential and trajectory methods for time course gene expression data.
    Liang Y; Tayo B; Cai X; Kelemen A
    Bioinformatics; 2005 Jul; 21(13):3009-16. PubMed ID: 15886280
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method.
    Fujita A; Sato JR; Garay-Malpartida HM; Morettin PA; Sogayar MC; Ferreira CE
    Bioinformatics; 2007 Jul; 23(13):1623-30. PubMed ID: 17463021
    [TBL] [Abstract][Full Text] [Related]  

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

  • 7. Systematic component selection for gene-network refinement.
    Radde N; Gebert J; Forst CV
    Bioinformatics; 2006 Nov; 22(21):2674-80. PubMed ID: 16926218
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery.
    Yoo C; Cooper GF; Schmidt M
    J Biomed Inform; 2006 Apr; 39(2):126-46. PubMed ID: 16203178
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of regulatory pathways using mRNA expression and protein interaction data: application to identification of galactose regulatory pathway.
    Darvish A; Najarian K
    Biosystems; 2006; 83(2-3):125-35. PubMed ID: 16384635
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Local correlation of expression profiles with gene annotations--proof of concept for a general conciliatory method.
    Pinto FR; Cowart LA; Hannun YA; Rohrer B; Almeida JS
    Bioinformatics; 2005 Apr; 21(7):1037-45. PubMed ID: 15509607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Probabilities of spurious connections in gene networks: application to expression time series.
    Bickel DR
    Bioinformatics; 2005 Apr; 21(7):1121-8. PubMed ID: 15546939
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Inferring pairwise regulatory relationships from multiple time series datasets.
    Shi Y; Mitchell T; Bar-Joseph Z
    Bioinformatics; 2007 Mar; 23(6):755-63. PubMed ID: 17237067
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian dynamic multivariate models for inferring gene interaction networks.
    Liang Y; Kelemen A
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2041-4. PubMed ID: 17946930
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A model-based optimization framework for the inference on gene regulatory networks from DNA array data.
    Thomas R; Mehrotra S; Papoutsakis ET; Hatzimanikatis V
    Bioinformatics; 2004 Nov; 20(17):3221-35. PubMed ID: 15247105
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Coexpressionfinder: a new algorithm for finding groups of coexpressed genes.
    Rogov SI; Momynaliev KT; Govorun VM
    J Bioinform Comput Biol; 2006 Aug; 4(4):853-64. PubMed ID: 17007071
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modularized learning of genetic interaction networks from biological annotations and mRNA expression data.
    Lee PH; Lee D
    Bioinformatics; 2005 Jun; 21(11):2739-47. PubMed ID: 15797909
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Least absolute regression network analysis of the murine osteoblast differentiation network.
    van Someren EP; Vaes BL; Steegenga WT; Sijbers AM; Dechering KJ; Reinders MJ
    Bioinformatics; 2006 Feb; 22(4):477-84. PubMed ID: 16332709
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying subtle interrelated changes in functional gene categories using continuous measures of gene expression.
    Ben-Shaul Y; Bergman H; Soreq H
    Bioinformatics; 2005 Apr; 21(7):1129-37. PubMed ID: 15550480
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving gene network inference by comparing expression time-series across species, developmental stages or tissues.
    Bourque G; Sankoff D
    J Bioinform Comput Biol; 2004 Dec; 2(4):765-83. PubMed ID: 15617165
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dynamic model-based clustering for time-course gene expression data.
    Wu FX; Zhang WJ; Kusalik AJ
    J Bioinform Comput Biol; 2005 Aug; 3(4):821-36. PubMed ID: 16078363
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.