BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 15117753)

  • 1. Class discovery and classification of tumor samples using mixture modeling of gene expression data--a unified approach.
    Alexandridis R; Lin S; Irwin M
    Bioinformatics; 2004 Nov; 20(16):2545-52. PubMed ID: 15117753
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of microarray data with factor mixture models.
    Martella F
    Bioinformatics; 2006 Jan; 22(2):202-8. PubMed ID: 16287938
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Gene selection using a two-level hierarchical Bayesian model.
    Bae K; Mallick BK
    Bioinformatics; 2004 Dec; 20(18):3423-30. PubMed ID: 15256404
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data.
    Hsu AL; Tang SL; Halgamuge SK
    Bioinformatics; 2003 Nov; 19(16):2131-40. PubMed ID: 14594719
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-class cancer classification via partial least squares with gene expression profiles.
    Nguyen DV; Rocke DM
    Bioinformatics; 2002 Sep; 18(9):1216-26. PubMed ID: 12217913
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian class discovery in microarray datasets.
    Roth V; Lange T
    IEEE Trans Biomed Eng; 2004 May; 51(5):707-18. PubMed ID: 15132496
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. SamCluster: an integrated scheme for automatic discovery of sample classes using gene expression profile.
    Li W; Fan M; Xiong M
    Bioinformatics; 2003 May; 19(7):811-7. PubMed ID: 12724290
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A CART-based approach to discover emerging patterns in microarray data.
    Boulesteix AL; Tutz G; Strimmer K
    Bioinformatics; 2003 Dec; 19(18):2465-72. PubMed ID: 14668233
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A semiparametric approach for marker gene selection based on gene expression data.
    Guan Z; Zhao H
    Bioinformatics; 2005 Feb; 21(4):529-36. PubMed ID: 15374863
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A spline function approach for detecting differentially expressed genes in microarray data analysis.
    He W
    Bioinformatics; 2004 Nov; 20(17):2954-63. PubMed ID: 15180936
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A gene selection method for cancer classification.
    Wang X; Tian J
    Comput Math Methods Med; 2012; 2012():586246. PubMed ID: 23251228
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method.
    Takahashi H; Kobayashi T; Honda H
    Bioinformatics; 2005 Jan; 21(2):179-86. PubMed ID: 15308545
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Some comments on instability of false discovery rate estimation.
    Qiu X; Yakovlev A
    J Bioinform Comput Biol; 2006 Oct; 4(5):1057-68. PubMed ID: 17099941
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A simple procedure for estimating the false discovery rate.
    Dalmasso C; Broët P; Moreau T
    Bioinformatics; 2005 Mar; 21(5):660-8. PubMed ID: 15479710
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Empirical Bayes screening of many p-values with applications to microarray studies.
    Datta S; Datta S
    Bioinformatics; 2005 May; 21(9):1987-94. PubMed ID: 15691856
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Biclustering microarray data by Gibbs sampling.
    Sheng Q; Moreau Y; De Moor B
    Bioinformatics; 2003 Oct; 19 Suppl 2():ii196-205. PubMed ID: 14534190
    [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 7.