BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 12354329)

  • 1. Assessment of differential gene expression in human peripheral nerve injury.
    Xiao Y; Segal MR; Rabert D; Ahn AH; Anand P; Sangameswaran L; Hu D; Hunt CA
    BMC Genomics; 2002 Sep; 3(1):28. PubMed ID: 12354329
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performance.
    Zhang S
    BMC Bioinformatics; 2007 Jun; 8():230. PubMed ID: 17603887
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SOME STEP-DOWN PROCEDURES CONTROLLING THE FALSE DISCOVERY RATE UNDER DEPENDENCE.
    Ge Y; Sealfon SC; Speed TP
    Stat Sin; 2008; 18(3):881-904. PubMed ID: 19018297
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identifying differentially expressed genes using false discovery rate controlling procedures.
    Reiner A; Yekutieli D; Benjamini Y
    Bioinformatics; 2003 Feb; 19(3):368-75. PubMed ID: 12584122
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data.
    Jain N; Cho H; O'Connell M; Lee JK
    BMC Bioinformatics; 2005 Jul; 6():187. PubMed ID: 16042779
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A unified framework for finding differentially expressed genes from microarray experiments.
    Shaik JS; Yeasin M
    BMC Bioinformatics; 2007 Sep; 8():347. PubMed ID: 17877806
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimating the false discovery rate using mixed normal distribution for identifying differentially expressed genes in microarray data analysis.
    Hirakawa A; Sato Y; Sozu T; Hamada C; Yoshimura I
    Cancer Inform; 2008 Jan; 3():140-8. PubMed ID: 19455258
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An investigation on performance of Significance Analysis of Microarray (SAM) for the comparisons of several treatments with one control in the presence of small-variance genes.
    Lin D; Shkedy Z; Burzykowski T; Ion R; Göhlmann HW; Bondt AD; Perer T; Geerts T; Van den Wyngaert I; Bijnens L
    Biom J; 2008 Oct; 50(5):801-23. PubMed ID: 18932139
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Significance analysis of microarray for relative quantitation of LC/MS data in proteomics.
    Roxas BA; Li Q
    BMC Bioinformatics; 2008 Apr; 9():187. PubMed ID: 18402702
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Selection of differentially expressed genes in microarray data analysis.
    Chen JJ; Wang SJ; Tsai CA; Lin CJ
    Pharmacogenomics J; 2007 Jun; 7(3):212-20. PubMed ID: 16940966
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Controlling the false discovery rate with constraints: the Newman-Keuls test revisited.
    Shaffer JP
    Biom J; 2007 Feb; 49(1):136-43. PubMed ID: 17342955
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving gene set analysis of microarray data by SAM-GS.
    Dinu I; Potter JD; Mueller T; Liu Q; Adewale AJ; Jhangri GS; Einecke G; Famulski KS; Halloran P; Yasui Y
    BMC Bioinformatics; 2007 Jul; 8():242. PubMed ID: 17612399
    [TBL] [Abstract][Full Text] [Related]  

  • 13. POWER-ENHANCED MULTIPLE DECISION FUNCTIONS CONTROLLING FAMILY-WISE ERROR AND FALSE DISCOVERY RATES.
    Peña EA; Habiger JD; Wu W
    Ann Stat; 2011 Feb; 39(1):556-583. PubMed ID: 25018568
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A new test statistic based on shrunken sample variance for identifying differentially expressed genes in small microarray experiments.
    Hirakawa A; Sato Y; Hamada C; Yoshimura I
    Bioinform Biol Insights; 2008 Feb; 2():145-56. PubMed ID: 19812772
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiple hypotheses testing procedures in clinical trials and genomic studies.
    Pan Q
    Front Public Health; 2013; 1():63. PubMed ID: 24350232
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An adaptive single-step FDR procedure with applications to DNA microarray analysis.
    Iyer V; Sarkar S
    Biom J; 2007 Feb; 49(1):127-35. PubMed ID: 17342954
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Microarray test results should not be compensated for multiplicity of gene contents.
    Konishi T
    BMC Syst Biol; 2011; 5 Suppl 2(Suppl 2):S6. PubMed ID: 22784577
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives.
    van der Laan MJ; Dudoit S; Pollard KS
    Stat Appl Genet Mol Biol; 2004; 3():Article15. PubMed ID: 16646793
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiplicity issues in microarray experiments.
    Bretz F; Landgrebe J; Brunner E
    Methods Inf Med; 2005; 44(3):431-7. PubMed ID: 16113769
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.