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Journal Abstract Search

119 related items for PubMed ID: 19846436

  • 1. Reporting bias when using real data sets to analyze classification performance.
    Yousefi MR, Hua J, Sima C, Dougherty ER.
    Bioinformatics; 2010 Jan 01; 26(1):68-76. PubMed ID: 19846436
    [Abstract] [Full Text] [Related]

  • 2. What should be expected from feature selection in small-sample settings.
    Sima C, Dougherty ER.
    Bioinformatics; 2006 Oct 01; 22(19):2430-6. PubMed ID: 16870934
    [Abstract] [Full Text] [Related]

  • 3. Optimal number of features as a function of sample size for various classification rules.
    Hua J, Xiong Z, Lowey J, Suh E, Dougherty ER.
    Bioinformatics; 2005 Apr 15; 21(8):1509-15. PubMed ID: 15572470
    [Abstract] [Full Text] [Related]

  • 4. Classification with reject option in gene expression data.
    Hanczar B, Dougherty ER.
    Bioinformatics; 2008 Sep 01; 24(17):1889-95. PubMed ID: 18621758
    [Abstract] [Full Text] [Related]

  • 5. Classification based upon gene expression data: bias and precision of error rates.
    Wood IA, Visscher PM, Mengersen KL.
    Bioinformatics; 2007 Jun 01; 23(11):1363-70. PubMed ID: 17392326
    [Abstract] [Full Text] [Related]

  • 6. A novel feature selection approach for biomedical data classification.
    Peng Y, Wu Z, Jiang J.
    J Biomed Inform; 2010 Feb 01; 43(1):15-23. PubMed ID: 19647098
    [Abstract] [Full Text] [Related]

  • 7. Genetic test bed for feature selection.
    Choudhary A, Brun M, Hua J, Lowey J, Suh E, Dougherty ER.
    Bioinformatics; 2006 Apr 01; 22(7):837-42. PubMed ID: 16428263
    [Abstract] [Full Text] [Related]

  • 8. Bias in error estimation when using cross-validation for model selection.
    Varma S, Simon R.
    BMC Bioinformatics; 2006 Feb 23; 7():91. PubMed ID: 16504092
    [Abstract] [Full Text] [Related]

  • 9. Bayesian variable selection for the analysis of microarray data with censored outcomes.
    Sha N, Tadesse MG, Vannucci M.
    Bioinformatics; 2006 Sep 15; 22(18):2262-8. PubMed ID: 16845144
    [Abstract] [Full Text] [Related]

  • 10. Improved binary PSO for feature selection using gene expression data.
    Chuang LY, Chang HW, Tu CJ, Yang CH.
    Comput Biol Chem; 2008 Feb 15; 32(1):29-37. PubMed ID: 18023261
    [Abstract] [Full Text] [Related]

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  • 14. Differential gene expression detection and sample classification using penalized linear regression models.
    Wu B.
    Bioinformatics; 2006 Feb 15; 22(4):472-6. PubMed ID: 16352654
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  • 15. Ameliorative missing value imputation for robust biological knowledge inference.
    Sehgal MS, Gondal I, Dooley LS, Coppel R.
    J Biomed Inform; 2008 Aug 15; 41(4):499-514. PubMed ID: 18334307
    [Abstract] [Full Text] [Related]

  • 16. Filter versus wrapper gene selection approaches in DNA microarray domains.
    Inza I, Larrañaga P, Blanco R, Cerrolaza AJ.
    Artif Intell Med; 2004 Jun 15; 31(2):91-103. PubMed ID: 15219288
    [Abstract] [Full Text] [Related]

  • 17. Classification of microarray data with factor mixture models.
    Martella F.
    Bioinformatics; 2006 Jan 15; 22(2):202-8. PubMed ID: 16287938
    [Abstract] [Full Text] [Related]

  • 18. Clustering of change patterns using Fourier coefficients.
    Kim J, Kim H.
    Bioinformatics; 2008 Jan 15; 24(2):184-91. PubMed ID: 18025003
    [Abstract] [Full Text] [Related]

  • 19. Classification of microarrays to nearest centroids.
    Dabney AR.
    Bioinformatics; 2005 Nov 15; 21(22):4148-54. PubMed ID: 16174683
    [Abstract] [Full Text] [Related]

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