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 *

127 related articles for article (PubMed ID: 38941289)

  • 1. Differential methylation region detection via an array-adaptive normalized kernel-weighted model.
    Alhassan D; Olbricht GR; Adekpedjou A
    PLoS One; 2024; 19(6):e0306036. PubMed ID: 38941289
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Probe Lasso: a novel method to rope in differentially methylated regions with 450K DNA methylation data.
    Butcher LM; Beck S
    Methods; 2015 Jan; 72():21-8. PubMed ID: 25461817
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Batch effects and pathway analysis: two potential perils in cancer studies involving DNA methylation array analysis.
    Harper KN; Peters BA; Gamble MV
    Cancer Epidemiol Biomarkers Prev; 2013 Jun; 22(6):1052-60. PubMed ID: 23629520
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Aclust2.0: a revamped unsupervised R tool for Infinium methylation beadchips data analyses.
    Oluwayiose OA; Wu H; Gao F; Baccarelli AA; Sofer T; Pilsner JR
    Bioinformatics; 2022 Oct; 38(20):4820-4822. PubMed ID: 36028931
    [TBL] [Abstract][Full Text] [Related]  

  • 5. IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data.
    Wang D; Yan L; Hu Q; Sucheston LE; Higgins MJ; Ambrosone CB; Johnson CS; Smiraglia DJ; Liu S
    Bioinformatics; 2012 Mar; 28(5):729-30. PubMed ID: 22253290
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 10(1):123. PubMed ID: 30326963
    [TBL] [Abstract][Full Text] [Related]  

  • 7. De novo identification of differentially methylated regions in the human genome.
    Peters TJ; Buckley MJ; Statham AL; Pidsley R; Samaras K; V Lord R; Clark SJ; Molloy PL
    Epigenetics Chromatin; 2015; 8():6. PubMed ID: 25972926
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detect differentially methylated regions using non-homogeneous hidden Markov model for methylation array data.
    Shen L; Zhu J; Robert Li SY; Fan X
    Bioinformatics; 2017 Dec; 33(23):3701-3708. PubMed ID: 29036320
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Characterization of parent-of-origin methylation using the Illumina Infinium MethylationEPIC array platform.
    Hernandez Mora JR; Tayama C; Sánchez-Delgado M; Monteagudo-Sánchez A; Hata K; Ogata T; Medrano J; Poo-Llanillo ME; Simón C; Moran S; Esteller M; Tenorio J; Lapunzina P; Kagami M; Monk D; Nakabayashi K
    Epigenomics; 2018 Jul; 10(7):941-954. PubMed ID: 29962238
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 17(1):42-48. PubMed ID: 28981624
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. Complete pipeline for Infinium(®) Human Methylation 450K BeadChip data processing using subset quantile normalization for accurate DNA methylation estimation.
    Touleimat N; Tost J
    Epigenomics; 2012 Jun; 4(3):325-41. PubMed ID: 22690668
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A framework for analyzing DNA methylation data from Illumina Infinium HumanMethylation450 BeadChip.
    Wang Z; Wu X; Wang Y
    BMC Bioinformatics; 2018 Apr; 19(Suppl 5):115. PubMed ID: 29671397
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A meta-analysis on age-associated changes in blood DNA methylation: results from an original analysis pipeline for Infinium 450k data.
    Bacalini MG; Boattini A; Gentilini D; Giampieri E; Pirazzini C; Giuliani C; Fontanesi E; Remondini D; Capri M; Del Rio A; Luiselli D; Vitale G; Mari D; Castellani G; Di Blasio AM; Salvioli S; Franceschi C; Garagnani P
    Aging (Albany NY); 2015 Feb; 7(2):97-109. PubMed ID: 25701668
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of differentially methylated regions in whole genome bisulfite sequencing data using local Getis-Ord statistics.
    Wen Y; Chen F; Zhang Q; Zhuang Y; Li Z
    Bioinformatics; 2016 Nov; 32(22):3396-3404. PubMed ID: 27493194
    [TBL] [Abstract][Full Text] [Related]  

  • 16. missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform.
    Phipson B; Maksimovic J; Oshlack A
    Bioinformatics; 2016 Jan; 32(2):286-8. PubMed ID: 26424855
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HOME: a histogram based machine learning approach for effective identification of differentially methylated regions.
    Srivastava A; Karpievitch YV; Eichten SR; Borevitz JO; Lister R
    BMC Bioinformatics; 2019 May; 20(1):253. PubMed ID: 31096906
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Novel region discovery method for Infinium 450K DNA methylation data reveals changes associated with aging in muscle and neuronal pathways.
    Ong ML; Holbrook JD
    Aging Cell; 2014 Feb; 13(1):142-55. PubMed ID: 24112369
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel principal component based method for identifying differentially methylated regions in Illumina Infinium MethylationEPIC BeadChip data.
    Zheng Y; Lunetta KL; Liu C; Smith AK; Sherva R; Miller MW; Logue MW
    Epigenetics; 2023 Dec; 18(1):2207959. PubMed ID: 37196182
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deoxyribonucleic acid methylation profiling of single human blastocysts by methylated CpG-island amplification coupled with CpG-island microarray.
    Huntriss J; Hemmings K; Baskaran P; Hazelwood L; Elder K; Virtanen C; Miller D; Picton HM
    Fertil Steril; 2015 Jun; 103(6):1566-71.e1-4. PubMed ID: 25914096
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.