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 *

123 related articles for article (PubMed ID: 22994883)

  • 1. A hierarchical semiparametric model for incorporating intergene information for analysis of genomic data.
    Qu L; Nettleton D; Dekkers JC
    Biometrics; 2012 Dec; 68(4):1168-77. PubMed ID: 22994883
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimating the false discovery rate using nonparametric deconvolution.
    van de Wiel MA; Kim KI
    Biometrics; 2007 Sep; 63(3):806-15. PubMed ID: 17825012
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MACAT--microarray chromosome analysis tool.
    Toedling J; Schmeier S; Heinig M; Georgi B; Roepcke S
    Bioinformatics; 2005 May; 21(9):2112-3. PubMed ID: 15572464
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Empirical Bayes ranking and selection methods via semiparametric hierarchical mixture models in microarray studies.
    Noma H; Matsui S
    Stat Med; 2013 May; 32(11):1904-16. PubMed ID: 23281021
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysis.
    Nettleton D; Recknor J; Reecy JM
    Bioinformatics; 2008 Jan; 24(2):192-201. PubMed ID: 18042553
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detecting differential gene expression with a semiparametric hierarchical mixture method.
    Newton MA; Noueiry A; Sarkar D; Ahlquist P
    Biostatistics; 2004 Apr; 5(2):155-76. PubMed ID: 15054023
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Microarray data analysis: a hierarchical T-test to handle heteroscedasticity.
    de Menezes RX; Boer JM; van Houwelingen HC
    Appl Bioinformatics; 2004; 3(4):229-35. PubMed ID: 15702953
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Incorporating gene networks into statistical tests for genomic data via a spatially correlated mixture model.
    Wei P; Pan W
    Bioinformatics; 2008 Feb; 24(3):404-11. PubMed ID: 18083717
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A three component latent class model for robust semiparametric gene discovery.
    Alfo' M; Farcomeni A; Tardella L
    Stat Appl Genet Mol Biol; 2011; 10():Article 7. PubMed ID: 21291417
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 22(14):1745-52. PubMed ID: 16675467
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Segmentation and intensity estimation of microarray images using a gamma-t mixture model.
    Baek J; Son YS; McLachlan GJ
    Bioinformatics; 2007 Feb; 23(4):458-65. PubMed ID: 17166856
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A new outlier removal approach for cDNA microarray normalization.
    Wu Y; Yan L; Liu H; Sun H; Xie H
    Biotechniques; 2009 Aug; 47(2):691-2, 694-700. PubMed ID: 19737130
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments.
    Nueda MJ; Ferrer A; Conesa A
    Biostatistics; 2012 Jul; 13(3):553-66. PubMed ID: 22085896
    [TBL] [Abstract][Full Text] [Related]  

  • 14. GeneTools--application for functional annotation and statistical hypothesis testing.
    Beisvag V; Jünge FK; Bergum H; Jølsum L; Lydersen S; Günther CC; Ramampiaro H; Langaas M; Sandvik AK; Laegreid A
    BMC Bioinformatics; 2006 Oct; 7():470. PubMed ID: 17062145
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A spline function approach for detecting differentially expressed genes in microarray data analysis.
    He W
    Bioinformatics; 2004 Nov; 20(17):2954-63. PubMed ID: 15180936
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A GMM-IG framework for selecting genes as expression panel biomarkers.
    Wang M; Chen JY
    Artif Intell Med; 2010; 48(2-3):75-82. PubMed ID: 20004087
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ChroCoLoc: an application for calculating the probability of co-localization of microarray gene expression.
    Blake J; Schwager C; Kapushesky M; Brazma A
    Bioinformatics; 2006 Mar; 22(6):765-7. PubMed ID: 16377611
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A simulation-based approach for evaluating microarray analyses.
    Blades NJ; Grimshaw SD; Pendleton CR
    Biostatistics; 2010 Jul; 11(3):533-6. PubMed ID: 20181614
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variance component estimation for mixed model analysis of cDNA microarray data.
    Sarholz B; Piepho HP
    Biom J; 2008 Dec; 50(6):927-39. PubMed ID: 19035549
    [TBL] [Abstract][Full Text] [Related]  

  • 20. maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments.
    Conesa A; Nueda MJ; Ferrer A; Talón M
    Bioinformatics; 2006 May; 22(9):1096-102. PubMed ID: 16481333
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.