BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 24941114)

  • 1. Evaluation of bias-variance trade-off for commonly used post-summarizing normalization procedures in large-scale gene expression studies.
    Qiu X; Hu R; Wu Z
    PLoS One; 2014; 9(6):e99380. PubMed ID: 24941114
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The impact of quantile and rank normalization procedures on the testing power of gene differential expression analysis.
    Qiu X; Wu H; Hu R
    BMC Bioinformatics; 2013 Apr; 14():124. PubMed ID: 23578321
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Super-delta: a new differential gene expression analysis procedure with robust data normalization.
    Liu Y; Zhang J; Qiu X
    BMC Bioinformatics; 2017 Dec; 18(1):582. PubMed ID: 29268715
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips.
    Shi W; Oshlack A; Smyth GK
    Nucleic Acids Res; 2010 Dec; 38(22):e204. PubMed ID: 20929874
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Investigation of normalization procedures for transcriptome profiles of compounds oriented toward practical study design.
    Mizuno T; Kusuhara H
    J Toxicol Sci; 2024; 49(6):249-259. PubMed ID: 38825484
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The impact of sample imbalance on identifying differentially expressed genes.
    Yang K; Li J; Gao H
    BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S8. PubMed ID: 17217526
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impact of DNA microarray data transformation on gene expression analysis - comparison of two normalization methods.
    Schmidt MT; Handschuh L; Zyprych J; Szabelska A; Olejnik-Schmidt AK; Siatkowski I; Figlerowicz M
    Acta Biochim Pol; 2011; 58(4):573-80. PubMed ID: 22187680
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Normalization for Affymetrix GeneChips.
    Boes T; Neuhäuser M
    Methods Inf Med; 2005; 44(3):414-7. PubMed ID: 16113766
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The effects of normalization on the correlation structure of microarray data.
    Qiu X; Brooks AI; Klebanov L; Yakovlev N
    BMC Bioinformatics; 2005 May; 6():120. PubMed ID: 15904488
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using generalized procrustes analysis (GPA) for normalization of cDNA microarray data.
    Xiong H; Zhang D; Martyniuk CJ; Trudeau VL; Xia X
    BMC Bioinformatics; 2008 Jan; 9():25. PubMed ID: 18199333
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of microarray data normalization procedures using spike-in experiments.
    Rydén P; Andersson H; Landfors M; Näslund L; Hartmanová B; Noppa L; Sjöstedt A
    BMC Bioinformatics; 2006 Jun; 7():300. PubMed ID: 16774679
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Normalization and experimental design for ChIP-chip data.
    Peng S; Alekseyenko AA; Larschan E; Kuroda MI; Park PJ
    BMC Bioinformatics; 2007 Jun; 8():219. PubMed ID: 17592629
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering.
    Freyhult E; Landfors M; Önskog J; Hvidsten TR; Rydén P
    BMC Bioinformatics; 2010 Oct; 11():503. PubMed ID: 20937082
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Normalization strategies for mRNA expression data in cartilage research.
    Fundel K; Haag J; Gebhard PM; Zimmer R; Aigner T
    Osteoarthritis Cartilage; 2008 Aug; 16(8):947-55. PubMed ID: 18258458
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Characterizing dye bias in microarray experiments.
    Dobbin KK; Kawasaki ES; Petersen DW; Simon RM
    Bioinformatics; 2005 May; 21(10):2430-7. PubMed ID: 15774555
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A new approach to intensity-dependent normalization of two-channel microarrays.
    Dabney AR; Storey JD
    Biostatistics; 2007 Jan; 8(1):128-39. PubMed ID: 16636140
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Use of normalization methods for analysis of microarrays containing a high degree of gene effects.
    Ni TT; Lemon WJ; Shyr Y; Zhong TP
    BMC Bioinformatics; 2008 Nov; 9():505. PubMed ID: 19040742
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Normalization and quantification of differential expression in gene expression microarrays.
    Steinhoff C; Vingron M
    Brief Bioinform; 2006 Jun; 7(2):166-77. PubMed ID: 16772260
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new outlier removal approach for cDNA microarray normalization.
    Wu Y; Yan L; Liu H; Sun H; Xie H
    Biotechniques; 2009 Aug; 47(2):691-2, 694-700. PubMed ID: 19737130
    [TBL] [Abstract][Full Text] [Related]  

  • 20. High-throughput processing and normalization of one-color microarrays for transcriptional meta-analyses.
    Dozmorov MG; Wren JD
    BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S2. PubMed ID: 22166002
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.