BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

78 related articles for article (PubMed ID: 15585118)

  • 1. Gene selection for sample classifications in microarray experiments.
    Tsai CA; Chen CH; Lee TC; Ho IC; Yang UC; Chen JJ
    DNA Cell Biol; 2004 Oct; 23(10):607-14. PubMed ID: 15585118
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-class clustering and prediction in the analysis of microarray data.
    Tsai CA; Lee TC; Ho IC; Yang UC; Chen CH; Chen JJ
    Math Biosci; 2005 Jan; 193(1):79-100. PubMed ID: 15681277
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
    Chen Z; Li J; Wei L
    Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates.
    Anand A; Suganthan PN
    J Theor Biol; 2009 Aug; 259(3):533-40. PubMed ID: 19406131
    [TBL] [Abstract][Full Text] [Related]  

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

  • 6. Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
    Furlanello C; Serafini M; Merler S; Jurman G
    BMC Bioinformatics; 2003 Nov; 4():54. PubMed ID: 14604446
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes.
    Warnat P; Eils R; Brors B
    BMC Bioinformatics; 2005 Nov; 6():265. PubMed ID: 16271137
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes.
    Jiang H; Deng Y; Chen HS; Tao L; Sha Q; Chen J; Tsai CJ; Zhang S
    BMC Bioinformatics; 2004 Jun; 5():81. PubMed ID: 15217521
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification between normal and tumor tissues based on the pair-wise gene expression ratio.
    Yap Y; Zhang X; Ling MT; Wang X; Wong YC; Danchin A
    BMC Cancer; 2004 Oct; 4():72. PubMed ID: 15469618
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mixture classification model based on clinical markers for breast cancer prognosis.
    Zeng T; Liu J
    Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gene expression profile class prediction using linear Bayesian classifiers.
    Asyali MH
    Comput Biol Med; 2007 Dec; 37(12):1690-9. PubMed ID: 17517385
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Incremental forward feature selection with application to microarray gene expression data.
    Lee YJ; Chang CC; Chao CH
    J Biopharm Stat; 2008; 18(5):827-40. PubMed ID: 18781519
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Interval-valued analysis for discriminative gene selection and tissue sample classification using microarray data.
    Qi Y; Yang X
    Genomics; 2013 Jan; 101(1):38-48. PubMed ID: 23000192
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories.
    Debnath R; Kurita T
    Biosystems; 2010 Apr; 100(1):39-46. PubMed ID: 20045444
    [TBL] [Abstract][Full Text] [Related]  

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

  • 16. Cancer survival classification using integrated data sets and intermediate information.
    Kim S; Park T; Kon M
    Artif Intell Med; 2014 Sep; 62(1):23-31. PubMed ID: 24997860
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Gene expression profile of peripheral blood in colorectal cancer.
    Chang YT; Huang CS; Yao CT; Su SL; Terng HJ; Chou HL; Chou YC; Chen KH; Shih YW; Lu CY; Lai CH; Jian CE; Lin CH; Chen CT; Wu YS; Lin KS; Wetter T; Chang CW; Chu CM
    World J Gastroenterol; 2014 Oct; 20(39):14463-71. PubMed ID: 25339833
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A hybrid feature selection method for DNA microarray data.
    Chuang LY; Yang CH; Wu KC; Yang CH
    Comput Biol Med; 2011 Apr; 41(4):228-37. PubMed ID: 21376310
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.
    Zhou X; Tuck DP
    Bioinformatics; 2007 May; 23(9):1106-14. PubMed ID: 17494773
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A fast gene selection method for multi-cancer classification using multiple support vector data description.
    Cao J; Zhang L; Wang B; Li F; Yang J
    J Biomed Inform; 2015 Feb; 53():381-9. PubMed ID: 25549938
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.