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 *

146 related articles for article (PubMed ID: 16983830)

  • 1. Template-driven gene selection procedure.
    Knowlton N; Dozmorov I; Kyker KD; Saban R; Cadwell C; Centola MB; Hurst RE
    Syst Biol (Stevenage); 2006 Jan; 153(1):4-12. PubMed ID: 16983830
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis of the interaction of extracellular matrix and phenotype of bladder cancer cells.
    Dozmorov MG; Kyker KD; Saban R; Knowlton N; Dozmorov I; Centola MB; Hurst RE
    BMC Cancer; 2006 Jan; 6():12. PubMed ID: 16412233
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

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

  • 6. Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data.
    Yeung KY; Bumgarner RE; Raftery AE
    Bioinformatics; 2005 May; 21(10):2394-402. PubMed ID: 15713736
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genomic characterization of multiple clinical phenotypes of cancer using multivariate linear regression models.
    Matsui S; Ito M; Nishiyama H; Uno H; Kotani H; Watanabe J; Guilford P; Reeve A; Fukushima M; Ogawa O
    Bioinformatics; 2007 Mar; 23(6):732-8. PubMed ID: 17237045
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Response projected clustering for direct association with physiological and clinical response data.
    Yi SG; Park T; Lee JK
    BMC Bioinformatics; 2008 Jan; 9():76. PubMed ID: 18237428
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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; ():322-5. PubMed ID: 16447989
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Dimension reduction-based penalized logistic regression for cancer classification using microarray data.
    Shen L; Tan EC
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):166-75. PubMed ID: 17044181
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Portraits of breast cancer progression.
    Dalgin GS; Alexe G; Scanfeld D; Tamayo P; Mesirov JP; Ganesan S; DeLisi C; Bhanot G
    BMC Bioinformatics; 2007 Aug; 8():291. PubMed ID: 17683614
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Supervised group Lasso with applications to microarray data analysis.
    Ma S; Song X; Huang J
    BMC Bioinformatics; 2007 Feb; 8():60. PubMed ID: 17316436
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Empirical study of supervised gene screening.
    Ma S
    BMC Bioinformatics; 2006 Dec; 7():537. PubMed ID: 17176468
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
    Pal NR; Aguan K; Sharma A; Amari S
    BMC Bioinformatics; 2007 Jan; 8():5. PubMed ID: 17207284
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A mixed factors model for dimension reduction and extraction of a group structure in gene expression data.
    Yoshida R; Higuchi T; Imoto S
    Proc IEEE Comput Syst Bioinform Conf; 2004; ():161-72. PubMed ID: 16448010
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.