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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

418 related articles for article (PubMed ID: 17177995)

  • 1. Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments.
    Sartor MA; Tomlinson CR; Wesselkamper SC; Sivaganesan S; Leikauf GD; Medvedovic M
    BMC Bioinformatics; 2006 Dec; 7():538. PubMed ID: 17177995
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fully moderated T-statistic for small sample size gene expression arrays.
    Yu L; Gulati P; Fernandez S; Pennell M; Kirschner L; Jarjoura D
    Stat Appl Genet Mol Biol; 2011 Sep; 10(1):. PubMed ID: 23089813
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments.
    Zhao H; Chan KL; Cheng LM; Yan H
    BMC Bioinformatics; 2008; 9 Suppl 1(Suppl 1):S9. PubMed ID: 18315862
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Empirical Bayes screening of many p-values with applications to microarray studies.
    Datta S; Datta S
    Bioinformatics; 2005 May; 21(9):1987-94. PubMed ID: 15691856
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian mixture model based clustering of replicated microarray data.
    Medvedovic M; Yeung KY; Bumgarner RE
    Bioinformatics; 2004 May; 20(8):1222-32. PubMed ID: 14871871
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian hierarchical error model for analysis of gene expression data.
    Cho H; Lee JK
    Bioinformatics; 2004 Sep; 20(13):2016-25. PubMed ID: 15044230
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian models for pooling microarray studies with multiple sources of replications.
    Conlon EM; Song JJ; Liu JS
    BMC Bioinformatics; 2006 May; 7():247. PubMed ID: 16677390
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Flexible empirical Bayes models for differential gene expression.
    Lo K; Gottardo R
    Bioinformatics; 2007 Feb; 23(3):328-35. PubMed ID: 17138586
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Empirical Bayes models for multiple probe type microarrays at the probe level.
    Astrand M; Mostad P; Rudemo M
    BMC Bioinformatics; 2008 Mar; 9():156. PubMed ID: 18366694
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments.
    Datta S; Satten GA; Benos DJ; Xia J; Heslin MJ; Datta S
    Bioinformatics; 2004 Jan; 20(2):235-42. PubMed ID: 14734315
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.
    Zhao X; Cheung LW
    BMC Bioinformatics; 2007 Feb; 8():67. PubMed ID: 17328811
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Significance testing for small microarray experiments.
    Kooperberg C; Aragaki A; Strand AD; Olson JM
    Stat Med; 2005 Aug; 24(15):2281-98. PubMed ID: 15889452
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An empirical Bayes method for robust variance estimation in detecting DEGs using microarray data.
    You N; Wang X
    J Bioinform Comput Biol; 2017 Oct; 15(5):1750020. PubMed ID: 28893113
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes.
    Baldi P; Long AD
    Bioinformatics; 2001 Jun; 17(6):509-19. PubMed ID: 11395427
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications.
    Yu F; Chen MH; Kuo L; Talbott H; Davis JS
    BMC Bioinformatics; 2015 Aug; 16():245. PubMed ID: 26250443
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessing differential expression in two-color microarrays: a resampling-based empirical Bayes approach.
    Li D; Le Pape MA; Parikh NI; Chen WX; Dye TD
    PLoS One; 2013; 8(11):e80099. PubMed ID: 24312198
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An empirical Bayesian method for estimating biological networks from temporal microarray data.
    Rau A; Jaffrézic F; Foulley JL; Doerge RW
    Stat Appl Genet Mol Biol; 2010; 9():Article 9. PubMed ID: 20196759
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatments.
    Townsend JP; Hartl DL
    Genome Biol; 2002; 3(12):RESEARCH0071. PubMed ID: 12537560
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Arrow plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups.
    Silva-Fortes C; Amaral Turkman MA; Sousa L
    BMC Bioinformatics; 2012 Jun; 13():147. PubMed ID: 22734592
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data.
    Liu X; Jessen WJ; Sivaganesan S; Aronow BJ; Medvedovic M
    BMC Bioinformatics; 2007 Aug; 8():283. PubMed ID: 17683565
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.