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Journal Abstract Search

147 related items for PubMed ID: 17674622

  • 1. Optimal search-based gene subset selection for gene array cancer classification.
    Li J, Su H, Chen H, Futscher BW.
    IEEE Trans Inf Technol Biomed; 2007 Jul; 11(4):398-405. PubMed ID: 17674622
    [Abstract] [Full Text] [Related]

  • 2. Robust Selection of Predictive Genes via a Simple Classifier.
    Vinciotti V, Tucker A, Kellam P, Liu X.
    Appl Bioinformatics; 2006 Jul; 5(1):1-11. PubMed ID: 16539532
    [Abstract] [Full Text] [Related]

  • 3. Multiclass molecular cancer classification by kernel subspace methods with effective kernel parameter selection.
    Niijima S, Kuhara S.
    J Bioinform Comput Biol; 2005 Oct; 3(5):1071-88. PubMed ID: 16278948
    [Abstract] [Full Text] [Related]

  • 4. An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data.
    Goh L, Kasabov N.
    J Bioinform Comput Biol; 2005 Oct; 3(5):1107-36. PubMed ID: 16278950
    [Abstract] [Full Text] [Related]

  • 5. Multiple SVM-RFE for gene selection in cancer classification with expression data.
    Duan KB, Rajapakse JC, Wang H, Azuaje F.
    IEEE Trans Nanobioscience; 2005 Sep; 4(3):228-34. PubMed ID: 16220686
    [Abstract] [Full Text] [Related]

  • 6. Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.
    Zhao X, Cheung LW.
    BMC Bioinformatics; 2007 Feb 28; 8():67. PubMed ID: 17328811
    [Abstract] [Full Text] [Related]

  • 7. Eigengene-based linear discriminant model for tumor classification using gene expression microarray data.
    Shen R, Ghosh D, Chinnaiyan A, Meng Z.
    Bioinformatics; 2006 Nov 01; 22(21):2635-42. PubMed ID: 16926220
    [Abstract] [Full Text] [Related]

  • 8. Robust and accurate cancer classification with gene expression profiling.
    Li H, Zhang K, Jiang T.
    Proc IEEE Comput Syst Bioinform Conf; 2005 Nov 01; ():310-21. PubMed ID: 16447988
    [Abstract] [Full Text] [Related]

  • 9. Toward a measure of classification complexity in gene expression signatures.
    Kamath V, Yeatman TJ, Eschrich SA.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Nov 01; 2008():5704-7. PubMed ID: 19164012
    [Abstract] [Full Text] [Related]

  • 10. Effective gene selection method with small sample sets using gradient-based and point injection techniques.
    Huang D, Chow T.
    IEEE/ACM Trans Comput Biol Bioinform; 2007 Nov 01; 4(3):467-475. PubMed ID: 17666766
    [Abstract] [Full Text] [Related]

  • 11. Smoothing blemished gene expression microarray data via missing value imputation.
    Cai Z, Shi Y, Song M, Goebel R, Lin G.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Nov 01; 2008():5688-91. PubMed ID: 19164008
    [Abstract] [Full Text] [Related]

  • 12. Applications of nonlinear system identification in molecular biology.
    Korenberg MJ.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Nov 01; 2006():256-9. PubMed ID: 17946811
    [Abstract] [Full Text] [Related]

  • 13. A robust meta-classification strategy for cancer diagnosis from gene expression data.
    Alexe G, Bhanot G, Venkataraghavan B, Ramaswamy R, Lepre J, Levine AJ, Stolovitzky G.
    Proc IEEE Comput Syst Bioinform Conf; 2005 Nov 01; ():322-5. PubMed ID: 16447989
    [Abstract] [Full Text] [Related]

  • 14. Development of two-stage SVM-RFE gene selection strategy for microarray expression data analysis.
    Tang Y, Zhang YQ, Huang Z.
    IEEE/ACM Trans Comput Biol Bioinform; 2007 Nov 01; 4(3):365-81. PubMed ID: 17666757
    [Abstract] [Full Text] [Related]

  • 15. Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.
    Niijima S, Kuhara S.
    BMC Bioinformatics; 2006 Dec 25; 7():543. PubMed ID: 17187691
    [Abstract] [Full Text] [Related]

  • 16. Cancer molecular pattern discovery by subspace consensus kernel classification.
    Han X.
    Comput Syst Bioinformatics Conf; 2007 Dec 25; 6():55-65. PubMed ID: 17951812
    [Abstract] [Full Text] [Related]

  • 17. Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data.
    Zhang C, Li P, Rajendran A, Deng Y, Chen D.
    BMC Bioinformatics; 2006 Dec 12; 7 Suppl 4(Suppl 4):S15. PubMed ID: 17217507
    [Abstract] [Full Text] [Related]

  • 18. Regularization strategies for hyperplane classifiers: application to cancer classification with gene expression data.
    Andries E, Hagstrom T, Atlas SR, Willman C.
    J Bioinform Comput Biol; 2007 Feb 12; 5(1):79-104. PubMed ID: 17477492
    [Abstract] [Full Text] [Related]

  • 19. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.
    Statnikov A, Aliferis CF, Tsamardinos I, Hardin D, Levy S.
    Bioinformatics; 2005 Mar 01; 21(5):631-43. PubMed ID: 15374862
    [Abstract] [Full Text] [Related]

  • 20. A combination of rough-based feature selection and RBF neural network for classification using gene expression data.
    Chiang JH, Ho SH.
    IEEE Trans Nanobioscience; 2008 Mar 01; 7(1):91-9. PubMed ID: 18334459
    [Abstract] [Full Text] [Related]

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