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 *

262 related articles for article (PubMed ID: 27272489)

  • 1. Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data.
    Müller C; Schillert A; Röthemeier C; Trégouët DA; Proust C; Binder H; Pfeiffer N; Beutel M; Lackner KJ; Schnabel RB; Tiret L; Wild PS; Blankenberg S; Zeller T; Ziegler A
    PLoS One; 2016; 11(6):e0156594. PubMed ID: 27272489
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of statistical methods and the use of quality control samples for batch effect correction in human transcriptome data.
    Espín-Pérez A; Portier C; Chadeau-Hyam M; van Veldhoven K; Kleinjans JCS; de Kok TMCM
    PLoS One; 2018; 13(8):e0202947. PubMed ID: 30161168
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Batch effect correction for genome-wide methylation data with Illumina Infinium platform.
    Sun Z; Chai HS; Wu Y; White WM; Donkena KV; Klein CJ; Garovic VD; Therneau TM; Kocher JP
    BMC Med Genomics; 2011 Dec; 4():84. PubMed ID: 22171553
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How to do quantile normalization correctly for gene expression data analyses.
    Zhao Y; Wong L; Goh WWB
    Sci Rep; 2020 Sep; 10(1):15534. PubMed ID: 32968196
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles.
    Kitchen RR; Sabine VS; Sims AH; Macaskill EJ; Renshaw L; Thomas JS; van Hemert JI; Dixon JM; Bartlett JM
    BMC Genomics; 2010 Feb; 11():134. PubMed ID: 20181233
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Empirical Bayes accomodation of batch-effects in microarray data using identical replicate reference samples: application to RNA expression profiling of blood from Duchenne muscular dystrophy patients.
    Walker WL; Liao IH; Gilbert DL; Wong B; Pollard KS; McCulloch CE; Lit L; Sharp FR
    BMC Genomics; 2008 Oct; 9():494. PubMed ID: 18937867
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE).
    Xia Q; Thompson JA; Koestler DC
    Stat Appl Genet Mol Biol; 2021 Dec; 20(4-6):101-119. PubMed ID: 34905304
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Considerations for normalization of DNA methylation data by Illumina 450K BeadChip assay in population studies.
    Yousefi P; Huen K; Aguilar Schall R; Decker A; Elboudwarej E; Quach H; Barcellos L; Holland N
    Epigenetics; 2013 Nov; 8(11):1141-52. PubMed ID: 23959097
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

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

  • 11. Two-stage normalization using background intensities in cDNA microarray data.
    Yoon D; Yi SG; Kim JH; Park T
    BMC Bioinformatics; 2004 Jul; 5():97. PubMed ID: 15268767
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Enhanced quantile normalization of microarray data to reduce loss of information in gene expression profiles.
    Hu J; He X
    Biometrics; 2007 Mar; 63(1):50-9. PubMed ID: 17447929
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Removing batch effects from purified plasma cell gene expression microarrays with modified ComBat.
    Stein CK; Qu P; Epstein J; Buros A; Rosenthal A; Crowley J; Morgan G; Barlogie B
    BMC Bioinformatics; 2015 Feb; 16():63. PubMed ID: 25887219
    [TBL] [Abstract][Full Text] [Related]  

  • 14. ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments.
    Nueda MJ; Ferrer A; Conesa A
    Biostatistics; 2012 Jul; 13(3):553-66. PubMed ID: 22085896
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of normalization methods for CodeLink Bioarray data.
    Wu W; Dave N; Tseng GC; Richards T; Xing EP; Kaminski N
    BMC Bioinformatics; 2005 Dec; 6():309. PubMed ID: 16381608
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying and correcting epigenetics measurements for systematic sources of variation.
    Perrier F; Novoloaca A; Ambatipudi S; Baglietto L; Ghantous A; Perduca V; Barrdahl M; Harlid S; Ong KK; Cardona A; Polidoro S; Nøst TH; Overvad K; Omichessan H; Dollé M; Bamia C; Huerta JM; Vineis P; Herceg Z; Romieu I; Ferrari P
    Clin Epigenetics; 2018; 10():38. PubMed ID: 29588806
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GENESHIFT: a nonparametric approach for integrating microarray gene expression data based on the inner product as a distance measure between the distributions of genes.
    Lazar C; Taminau J; Meganck S; Steenhoff D; Coletta A; Solís DY; Molter C; Duque R; Bersini H; Nowé A
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):383-92. PubMed ID: 23929862
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Blind estimation and correction of microarray batch effect.
    Varma S
    PLoS One; 2020; 15(4):e0231446. PubMed ID: 32271844
    [TBL] [Abstract][Full Text] [Related]  

  • 19. AMDBNorm: an approach based on distribution adjustment to eliminate batch effects of gene expression data.
    Zhang X; Ye Z; Chen J; Qiao F
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34958674
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Can Zipf's law be adapted to normalize microarrays?
    Lu T; Costello CM; Croucher PJ; Häsler R; Deuschl G; Schreiber S
    BMC Bioinformatics; 2005 Feb; 6():37. PubMed ID: 15727680
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.