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 *

129 related articles for article (PubMed ID: 15339345)

  • 1. Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE).
    Vêncio RZ; Brentani H; Patrão DF; Pereira CA
    BMC Bioinformatics; 2004 Aug; 5():119. PubMed ID: 15339345
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model.
    Zuyderduyn SD
    BMC Bioinformatics; 2007 Aug; 8():282. PubMed ID: 17683533
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of microarray and sage techniques in gene expression analysis of human glioblastoma.
    Kavsan VM; Dmitrenko VV; Shostak KO; Bukreieva TV; Vitak NY; Simirenko OE; Malisheva TA; Shamayev MI; Rozumenko VD; Zozulya YA
    Tsitol Genet; 2007; 41(1):36-55. PubMed ID: 17427416
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Transcriptomes for serial analysis of gene expression].
    Marti J; Piquemal D; Manchon L; Commes T
    J Soc Biol; 2002; 196(4):303-7. PubMed ID: 12645300
    [TBL] [Abstract][Full Text] [Related]  

  • 5. LyM: a tool to reach the best factor in gene expression comparison.
    Peres Tde S; Costa FF; Alberto FL
    In Silico Biol; 2007; 7(1):101-4. PubMed ID: 17688434
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identitag, a relational database for SAGE tag identification and interspecies comparison of SAGE libraries.
    Keime C; Damiola F; Mouchiroud D; Duret L; Gandrillon O
    BMC Bioinformatics; 2004 Oct; 5():143. PubMed ID: 15469608
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reconstruction of large-scale gene regulatory networks using Bayesian model averaging.
    Kim H; Gelenbe E
    IEEE Trans Nanobioscience; 2012 Sep; 11(3):259-65. PubMed ID: 22987132
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Laplace mixture model for identification of differential expression in microarray experiments.
    Bhowmick D; Davison AC; Goldstein DR; Ruffieux Y
    Biostatistics; 2006 Oct; 7(4):630-41. PubMed ID: 16565148
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical modeling of sequencing errors in SAGE libraries.
    Beissbarth T; Hyde L; Smyth GK; Job C; Boon WM; Tan SS; Scott HS; Speed TP
    Bioinformatics; 2004 Aug; 20 Suppl 1():i31-9. PubMed ID: 15262778
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.
    Barrera L; Benner C; Tao YC; Winzeler E; Zhou Y
    BMC Bioinformatics; 2004 Apr; 5():42. PubMed ID: 15099405
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Statistical evaluation of SAGE libraries: consequences for experimental design.
    Ruijter JM; Van Kampen AH; Baas F
    Physiol Genomics; 2002 Oct; 11(2):37-44. PubMed ID: 12407185
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel approach to detect differentially expressed genes from count-based digital databases by normalizing with housekeeping genes.
    Lü B; Yu J; Xu J; Chen J; Lai M
    Genomics; 2009 Sep; 94(3):211-6. PubMed ID: 19446020
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An empirical Bayesian method for estimating biological networks from temporal microarray data.
    Rau A; Jaffrézic F; Foulley JL; Doerge RW
    Stat Appl Genet Mol Biol; 2010; 9():Article 9. PubMed ID: 20196759
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Informative or noninformative calls for gene expression: a latent variable approach.
    Kasim A; Lin D; Van Sanden S; Clevert DA; Bijnens L; Göhlmann H; Amaratunga D; Hochreiter S; Shkedy Z; Talloen W
    Stat Appl Genet Mol Biol; 2010; 9():Article 4. PubMed ID: 20196754
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Technology evaluation: SAGE, Genzyme molecular oncology.
    Bartlett J
    Curr Opin Mol Ther; 2001 Feb; 3(1):85-96. PubMed ID: 11249736
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gene function inference from gene expression of deletion mutants.
    Bidaut G
    Methods Mol Biol; 2007; 408():1-18. PubMed ID: 18314574
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lymphoid gene expression as a predictor of risk of secondary brain tumors.
    Edick MJ; Cheng C; Yang W; Cheok M; Wilkinson MR; Pei D; Evans WE; Kun LE; Pui CH; Relling MV
    Genes Chromosomes Cancer; 2005 Feb; 42(2):107-16. PubMed ID: 15543619
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
    Shedden K; Chen W; Kuick R; Ghosh D; Macdonald J; Cho KR; Giordano TJ; Gruber SB; Fearon ER; Taylor JM; Hanash S
    BMC Bioinformatics; 2005 Feb; 6():26. PubMed ID: 15705192
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Statistical methods for identifying differentially expressed gene combinations.
    Ho YY; Cope L; Dettling M; Parmigiani G
    Methods Mol Biol; 2007; 408():171-91. PubMed ID: 18314583
    [TBL] [Abstract][Full Text] [Related]  

  • 20. In silico identification of breast cancer genes by combined multiple high throughput analyses.
    Shen D; He J; Chang HR
    Int J Mol Med; 2005 Feb; 15(2):205-12. PubMed ID: 15647832
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.