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Journal Abstract Search

214 related items for PubMed ID: 31250700

  • 1. Comparison of Illumina 450K and EPIC arrays in placental DNA methylation.
    Fernandez-Jimenez N, Allard C, Bouchard L, Perron P, Bustamante M, Bilbao JR, Hivert MF.
    Epigenetics; 2019 Dec; 14(12):1177-1182. PubMed ID: 31250700
    [Abstract] [Full Text] [Related]

  • 2. Systematic evaluation of DNA methylation age estimation with common preprocessing methods and the Infinium MethylationEPIC BeadChip array.
    McEwen LM, Jones MJ, Lin DTS, Edgar RD, Husquin LT, MacIsaac JL, Ramadori KE, Morin AM, Rider CF, Carlsten C, Quintana-Murci L, Horvath S, Kobor MS.
    Clin Epigenetics; 2018 Oct 16; 10(1):123. PubMed ID: 30326963
    [Abstract] [Full Text] [Related]

  • 3. Correlation of Infinium HumanMethylation450K and MethylationEPIC BeadChip arrays in cartilage.
    Cheung K, Burgers MJ, Young DA, Cockell S, Reynard LN.
    Epigenetics; 2020 Oct 16; 15(6-7):594-603. PubMed ID: 31833794
    [Abstract] [Full Text] [Related]

  • 4. Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling.
    Pidsley R, Zotenko E, Peters TJ, Lawrence MG, Risbridger GP, Molloy P, Van Djik S, Muhlhausler B, Stirzaker C, Clark SJ.
    Genome Biol; 2016 Oct 07; 17(1):208. PubMed ID: 27717381
    [Abstract] [Full Text] [Related]

  • 5. Comparison of methylation capture sequencing and Infinium MethylationEPIC array in peripheral blood mononuclear cells.
    Shu C, Zhang X, Aouizerat BE, Xu K.
    Epigenetics Chromatin; 2020 Nov 23; 13(1):51. PubMed ID: 33228774
    [Abstract] [Full Text] [Related]

  • 6. The correlation of methylation levels measured using Illumina 450K and EPIC BeadChips in blood samples.
    Logue MW, Smith AK, Wolf EJ, Maniates H, Stone A, Schichman SA, McGlinchey RE, Milberg W, Miller MW.
    Epigenomics; 2017 Nov 23; 9(11):1363-1371. PubMed ID: 28809127
    [Abstract] [Full Text] [Related]

  • 7. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi.
    Fortin JP, Triche TJ, Hansen KD.
    Bioinformatics; 2017 Feb 15; 33(4):558-560. PubMed ID: 28035024
    [Abstract] [Full Text] [Related]

  • 8. Array probe density and pathobiological relevant CpG calling bias in human disease and physiological DNA methylation profiling.
    Silva-Martínez GA, Zaina S, Lund G.
    Brief Funct Genomics; 2018 Jan 01; 17(1):42-48. PubMed ID: 28981624
    [Abstract] [Full Text] [Related]

  • 9. Validation of the MethylationEPIC BeadChip for fresh-frozen and formalin-fixed paraffin-embedded tumours.
    Kling T, Wenger A, Beck S, Carén H.
    Clin Epigenetics; 2017 Jan 01; 9():33. PubMed ID: 28392843
    [Abstract] [Full Text] [Related]

  • 10. Comparison of DNA methylation measured by Illumina 450K and EPIC BeadChips in blood of newborns and 14-year-old children.
    Solomon O, MacIsaac J, Quach H, Tindula G, Kobor MS, Huen K, Meaney MJ, Eskenazi B, Barcellos LF, Holland N.
    Epigenetics; 2018 Jan 01; 13(6):655-664. PubMed ID: 30044683
    [Abstract] [Full Text] [Related]

  • 11. An empirically driven data reduction method on the human 450K methylation array to remove tissue specific non-variable CpGs.
    Edgar RD, Jones MJ, Robinson WP, Kobor MS.
    Clin Epigenetics; 2017 Jan 01; 9():11. PubMed ID: 28184257
    [Abstract] [Full Text] [Related]

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  • 13. Genome-wide DNA methylation profiling in human breast tissue by Illumina TruSeq methyl capture EPIC sequencing and infinium methylationEPIC beadchip microarray.
    Lin N, Liu J, Castle J, Wan J, Shendre A, Liu Y, Wang C, He C.
    Epigenetics; 2021 Jan 01; 16(7):754-769. PubMed ID: 33048617
    [Abstract] [Full Text] [Related]

  • 14. Critical evaluation of the reliability of DNA methylation probes on the Illumina MethylationEPIC v1.0 BeadChip microarrays.
    Zhang W, Young JI, Gomez L, Schmidt MA, Lukacsovich D, Varma A, Chen XS, Kunkle B, Martin ER, Wang L.
    Epigenetics; 2024 Dec 01; 19(1):2333660. PubMed ID: 38564759
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  • 17. Predicting CpG methylation levels by integrating Infinium HumanMethylation450 BeadChip array data.
    Fan S, Huang K, Ai R, Wang M, Wang W.
    Genomics; 2016 Apr 01; 107(4):132-7. PubMed ID: 26921858
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  • 19. Quantitative cross-validation and content analysis of the 450k DNA methylation array from Illumina, Inc.
    Roessler J, Ammerpohl O, Gutwein J, Hasemeier B, Anwar SL, Kreipe H, Lehmann U.
    BMC Res Notes; 2012 Apr 30; 5():210. PubMed ID: 22546179
    [Abstract] [Full Text] [Related]

  • 20. A Guide to Illumina BeadChip Data Analysis.
    Wu MC, Kuan PF.
    Methods Mol Biol; 2018 Apr 30; 1708():303-330. PubMed ID: 29224151
    [Abstract] [Full Text] [Related]

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