BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 17666766)

  • 1. 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; 4(3):467-475. PubMed ID: 17666766
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 21(5):631-43. PubMed ID: 15374862
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 2008():5688-91. PubMed ID: 19164008
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 4(3):365-81. PubMed ID: 17666757
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-category classification using an Extreme Learning Machine for microarray gene expression cancer diagnosis.
    Zhang R; Huang GB; Sundararajan N; Saratchandran P
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(3):485-495. PubMed ID: 17666768
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 5(1):79-104. PubMed ID: 17477492
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An efficient semi-unsupervised gene selection method via spectral biclustering.
    Liu B; Wan C; Wang L
    IEEE Trans Nanobioscience; 2006 Jun; 5(2):110-4. PubMed ID: 16805107
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 2008():5704-7. PubMed ID: 19164012
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Minimum number of genes for microarray feature selection.
    Baralis E; Bruno G; Fiori A
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5692-5. PubMed ID: 19164009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

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

  • 14. Kernel-based distance metric learning for microarray data classification.
    Xiong H; Chen XW
    BMC Bioinformatics; 2006 Jun; 7():299. PubMed ID: 16774678
    [TBL] [Abstract][Full Text] [Related]  

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

  • 16. Eigengene-based linear discriminant model for tumor classification using gene expression microarray data.
    Shen R; Ghosh D; Chinnaiyan A; Meng Z
    Bioinformatics; 2006 Nov; 22(21):2635-42. PubMed ID: 16926220
    [TBL] [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; 7 Suppl 4(Suppl 4):S15. PubMed ID: 17217507
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiclass cancer classification and biomarker discovery using GA-based algorithms.
    Liu JJ; Cutler G; Li W; Pan Z; Peng S; Hoey T; Chen L; Ling XB
    Bioinformatics; 2005 Jun; 21(11):2691-7. PubMed ID: 15814557
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clustering gene expression data with kernel principal components.
    Liu Z; Chen D; Bensmail H; Xu Y
    J Bioinform Comput Biol; 2005 Apr; 3(2):303-16. PubMed ID: 15852507
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ensemble dependence model for classification and prediction of cancer and normal gene expression data.
    Qiu P; Wang ZJ; Liu KJ
    Bioinformatics; 2005 Jul; 21(14):3114-21. PubMed ID: 15879455
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.