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 *

127 related articles for article (PubMed ID: 15702197)

  • 1. Penalized binary regression for gene expression profiling.
    Schimek MG
    Methods Inf Med; 2004; 43(5):439-44. PubMed ID: 15702197
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian neural networks for bivariate binary data: an application to prostate cancer study.
    Chakraborty S; Ghosh M; Maiti T; Tewari A
    Stat Med; 2005 Dec; 24(23):3645-62. PubMed ID: 16138362
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Molecular diagnosis. Classification, model selection and performance evaluation.
    Markowetz F; Spang R
    Methods Inf Med; 2005; 44(3):438-43. PubMed ID: 16113770
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Correlation-based gene selection and classification using Taguchi-BPSO.
    Chuang LY; Yang CS; Wu KC; Yang CH
    Methods Inf Med; 2010; 49(3):254-68. PubMed ID: 20135079
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Gene selection in cancer classification using sparse logistic regression with Bayesian regularization.
    Cawley GC; Talbot NL
    Bioinformatics; 2006 Oct; 22(19):2348-55. PubMed ID: 16844704
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression.
    Algamal ZY; Alhamzawi R; Mohammad Ali HT
    Comput Biol Med; 2018 Jun; 97():145-152. PubMed ID: 29729489
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On the consistency of Bayesian variable selection for high dimensional binary regression and classification.
    Jiang W
    Neural Comput; 2006 Nov; 18(11):2762-76. PubMed ID: 16999578
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimation of distribution algorithms as logistic regression regularizers of microarray classifiers.
    Bielza C; Robles V; Larranaga P
    Methods Inf Med; 2009; 48(3):236-41. PubMed ID: 19387512
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical analysis of microarray data: a Bayesian approach.
    Gottardo R; Pannucci JA; Kuske CR; Brettin T
    Biostatistics; 2003 Oct; 4(4):597-620. PubMed ID: 14557114
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays.
    Demichelis F; Magni P; Piergiorgi P; Rubin MA; Bellazzi R
    BMC Bioinformatics; 2006 Nov; 7():514. PubMed ID: 17125514
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Bayesian network classification methodology for gene expression data.
    Helman P; Veroff R; Atlas SR; Willman C
    J Comput Biol; 2004; 11(4):581-615. PubMed ID: 15579233
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian meta-analysis models for microarray data: a comparative study.
    Conlon EM; Song JJ; Liu A
    BMC Bioinformatics; 2007 Mar; 8():80. PubMed ID: 17343745
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.
    Coull BA; Bobb JF; Wellenius GA; Kioumourtzoglou MA; Mittleman MA; Koutrakis P; Godleski JJ
    Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):5-50. PubMed ID: 26333238
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Regularized ROC method for disease classification and biomarker selection with microarray data.
    Ma S; Huang J
    Bioinformatics; 2005 Dec; 21(24):4356-62. PubMed ID: 16234316
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robust classification modeling on microarray data using misclassification penalized posterior.
    Soukup M; Cho H; Lee JK
    Bioinformatics; 2005 Jun; 21 Suppl 1():i423-30. PubMed ID: 15961487
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Penalization, bias reduction, and default priors in logistic and related categorical and survival regressions.
    Greenland S; Mansournia MA
    Stat Med; 2015 Oct; 34(23):3133-43. PubMed ID: 26011599
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differential gene expression detection and sample classification using penalized linear regression models.
    Wu B
    Bioinformatics; 2006 Feb; 22(4):472-6. PubMed ID: 16352654
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage.
    Sha N; Vannucci M; Tadesse MG; Brown PJ; Dragoni I; Davies N; Roberts TC; Contestabile A; Salmon M; Buckley C; Falciani F
    Biometrics; 2004 Sep; 60(3):812-9. PubMed ID: 15339306
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian decision-theoretic group sequential clinical trial design based on a quadratic loss function: a frequentist evaluation.
    Lewis RJ; Lipsky AM; Berry DA
    Clin Trials; 2007; 4(1):5-14. PubMed ID: 17327241
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Vbmp: variational Bayesian Multinomial Probit Regression for multi-class classification in R.
    Lama N; Girolami M
    Bioinformatics; 2008 Jan; 24(1):135-6. PubMed ID: 18003643
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.