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 *

103 related articles for article (PubMed ID: 27605185)

  • 1. Evaluation of Different Normalization and Analysis Procedures for Illumina Gene Expression Microarray Data Involving Small Changes.
    Johnstone DM; Riveros C; Heidari M; Graham RM; Trinder D; Berretta R; Olynyk JK; Scott RJ; Moscato P; Milward EA
    Microarrays (Basel); 2013 May; 2(2):131-52. PubMed ID: 27605185
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Group testing for pathway analysis improves comparability of different microarray datasets.
    Manoli T; Gretz N; Gröne HJ; Kenzelmann M; Eils R; Brors B
    Bioinformatics; 2006 Oct; 22(20):2500-6. PubMed ID: 16895928
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of Normalization Methods for RNA-Seq Gene Expression Estimation.
    Wu PY; Phan JH; Zhou F; Wang MD
    IEEE Int Conf Bioinform Biomed Workshops; 2011 Nov; 2011():50-57. PubMed ID: 27532058
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Effect of normalization on statistical and biological interpretation of gene expression profiles.
    Qin S; Kim J; Arafat D; Gibson G
    Front Genet; 2012; 3():160. PubMed ID: 23755061
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Preprocessing and Quality Control Strategies for Illumina DASL Assay-Based Brain Gene Expression Studies with Semi-Degraded Samples.
    Chow ML; Winn ME; Li HR; April C; Wynshaw-Boris A; Fan JB; Fu XD; Courchesne E; Schork NJ
    Front Genet; 2012; 3():11. PubMed ID: 22375143
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Normalization and Technical Variation in Gene Expression Measurements.
    Liggett W
    J Res Natl Inst Stand Technol; 2006; 111(5):361-72. PubMed ID: 27274938
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CrossNorm: a novel normalization strategy for microarray data in cancers.
    Cheng L; Lo LY; Tang NL; Wang D; Leung KS
    Sci Rep; 2016 Jan; 6():18898. PubMed ID: 26732145
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Robust-linear-model normalization to reduce technical variability in functional protein microarrays.
    Sboner A; Karpikov A; Chen G; Smith M; Mattoon D; Freeman-Cook L; Schweitzer B; Gerstein MB
    J Proteome Res; 2009 Dec; 8(12):5451-64. PubMed ID: 19817483
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Expression analysis of RNA sequencing data from human neural and glial cell lines depends on technical replication and normalization methods.
    Knight VB; Serrano EE
    BMC Bioinformatics; 2018 Nov; 19(Suppl 14):412. PubMed ID: 30453873
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A rapid method for microarray cross platform comparisons using gene expression signatures.
    Cheadle C; Becker KG; Cho-Chung YS; Nesterova M; Watkins T; Wood W; Prabhu V; Barnes KC
    Mol Cell Probes; 2007 Feb; 21(1):35-46. PubMed ID: 16982174
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Normalization strategies for microRNA profiling experiments: a 'normal' way to a hidden layer of complexity?
    Meyer SU; Pfaffl MW; Ulbrich SE
    Biotechnol Lett; 2010 Dec; 32(12):1777-88. PubMed ID: 20703800
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of boutique arrays: a universal method for the selection of the optimal data normalization procedure.
    Uszczyńska B; Zyprych-Walczak J; Handschuh L; Szabelska A; Kaźmierczak M; Woronowicz W; Kozłowski P; Sikorski MM; Komarnicki M; Siatkowski I; Figlerowicz M
    Int J Mol Med; 2013 Sep; 32(3):668-84. PubMed ID: 23857190
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of inter-laboratory and cross-platform concordance of DNA microarrays through discriminating genes and classifier transferability.
    Mao S; Wang C; Dong G
    J Bioinform Comput Biol; 2009 Feb; 7(1):157-73. PubMed ID: 19226665
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Retrospective analysis: reproducibility of interblastomere differences of mRNA expression in 2-cell stage mouse embryos is remarkably poor due to combinatorial mechanisms of blastomere diversification.
    Casser E; Israel S; Schlatt S; Nordhoff V; Boiani M
    Mol Hum Reprod; 2018 Jul; 24(7):388-400. PubMed ID: 29746690
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Systematic noise degrades gene co-expression signals but can be corrected.
    Freytag S; Gagnon-Bartsch J; Speed TP; Bahlo M
    BMC Bioinformatics; 2015 Sep; 16():309. PubMed ID: 26403471
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data.
    Li X; Brock GN; Rouchka EC; Cooper NGF; Wu D; O'Toole TE; Gill RS; Eteleeb AM; O'Brien L; Rai SN
    PLoS One; 2017; 12(5):e0176185. PubMed ID: 28459823
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessing quality and normalization of microarrays: case studies using neurological genomic data.
    Hershey AD; Burdine D; Liu C; Nick TG; Gilbert DL; Glauser TA
    Acta Neurol Scand; 2008 Jul; 118(1):29-41. PubMed ID: 18205880
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Novel design and controls for focused DNA microarrays: applications in quality assurance/control and normalization for the Health Canada ToxArray.
    Yauk CL; Williams A; Boucher S; Berndt LM; Zhou G; Zheng JL; Rowan-Carroll A; Dong H; Lambert IB; Douglas GR; Parfett CL
    BMC Genomics; 2006 Oct; 7():266. PubMed ID: 17052352
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of normalization and differential expression analyses using RNA-Seq data from 726 individual Drosophila melanogaster.
    Lin Y; Golovnina K; Chen ZX; Lee HN; Negron YL; Sultana H; Oliver B; Harbison ST
    BMC Genomics; 2016 Jan; 17():28. PubMed ID: 26732976
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 6.