BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 15033871)

  • 1. Optimization models for cancer classification: extracting gene interaction information from microarray expression data.
    Antonov AV; Tetko IV; Mader MT; Budczies J; Mewes HW
    Bioinformatics; 2004 Mar; 20(5):644-52. PubMed ID: 15033871
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A web portal for classification of expression data using maximal margin linear programming.
    Antonov AV; Tetko IV; Prokopenko VV; Kosykh D; Mewes HW
    Bioinformatics; 2004 Nov; 20(17):3284-5. PubMed ID: 15217811
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Boosting for tumor classification with gene expression data.
    Dettling M; Bühlmann P
    Bioinformatics; 2003 Jun; 19(9):1061-9. PubMed ID: 12801866
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. An entropy-based gene selection method for cancer classification using microarray data.
    Liu X; Krishnan A; Mondry A
    BMC Bioinformatics; 2005 Mar; 6():76. PubMed ID: 15790388
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
    Bagirov AM; Ferguson B; Ivkovic S; Saunders G; Yearwood J
    Bioinformatics; 2003 Sep; 19(14):1800-7. PubMed ID: 14512351
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Simultaneous gene clustering and subset selection for sample classification via MDL.
    Jörnsten R; Yu B
    Bioinformatics; 2003 Jun; 19(9):1100-9. PubMed ID: 12801870
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PCA disjoint models for multiclass cancer analysis using gene expression data.
    Bicciato S; Luchini A; Di Bello C
    Bioinformatics; 2003 Mar; 19(5):571-8. PubMed ID: 12651714
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effective dimension reduction methods for tumor classification using gene expression data.
    Antoniadis A; Lambert-Lacroix S; Leblanc F
    Bioinformatics; 2003 Mar; 19(5):563-70. PubMed ID: 12651713
    [TBL] [Abstract][Full Text] [Related]  

  • 10. In silico microdissection of microarray data from heterogeneous cell populations.
    Lähdesmäki H; Shmulevich L; Dunmire V; Yli-Harja O; Zhang W
    BMC Bioinformatics; 2005 Mar; 6():54. PubMed ID: 15766384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pattern identification and classification in gene expression data using an autoassociative neural network model.
    Bicciato S; Pandin M; Didonè G; Di Bello C
    Biotechnol Bioeng; 2003 Mar; 81(5):594-606. PubMed ID: 12514809
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Tumor classification ranking from microarray data.
    Hewett R; Kijsanayothin P
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
    Huang DS; Zheng CH
    Bioinformatics; 2006 Aug; 22(15):1855-62. PubMed ID: 16709589
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Optimization based tumor classification from microarray gene expression data.
    Dagliyan O; Uney-Yuksektepe F; Kavakli IH; Turkay M
    PLoS One; 2011 Feb; 6(2):e14579. PubMed ID: 21326602
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reliable classification of two-class cancer data using evolutionary algorithms.
    Deb K; Raji Reddy A
    Biosystems; 2003 Nov; 72(1-2):111-29. PubMed ID: 14642662
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data.
    Wang Y; Makedon FS; Ford JC; Pearlman J
    Bioinformatics; 2005 Apr; 21(8):1530-7. PubMed ID: 15585531
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Applications of support vector machines to cancer classification with microarray data.
    Chu F; Wang L
    Int J Neural Syst; 2005 Dec; 15(6):475-84. PubMed ID: 16385636
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Novel clustering algorithm for microarray expression data in a truncated SVD space.
    Horn D; Axel I
    Bioinformatics; 2003 Jun; 19(9):1110-5. PubMed ID: 12801871
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Discovery of highly differentiative gene groups from microarray gene expression data using the gene club approach.
    Mao S; Dong G
    J Bioinform Comput Biol; 2005 Dec; 3(6):1263-80. PubMed ID: 16374906
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.