BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

51 related articles for article (PubMed ID: 26246354)

  • 1. How to make DNA methylome wide association studies more powerful.
    Lin X; Barton S; Holbrook JD
    Epigenomics; 2016 Aug; 8(8):1117-29. PubMed ID: 27052998
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Epigenome-wide association studies for common human diseases.
    Rakyan VK; Down TA; Balding DJ; Beck S
    Nat Rev Genet; 2011 Jul; 12(8):529-41. PubMed ID: 21747404
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genome-wide association studies and epigenome-wide association studies go together in cancer control.
    Verma M
    Future Oncol; 2016 Jul; 12(13):1645-64. PubMed ID: 27079684
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MeDeCom: discovery and quantification of latent components of heterogeneous methylomes.
    Lutsik P; Slawski M; Gasparoni G; Vedeneev N; Hein M; Walter J
    Genome Biol; 2017 Mar; 18(1):55. PubMed ID: 28340624
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution.
    van Iterson M; van Zwet EW; ; Heijmans BT
    Genome Biol; 2017 Jan; 18(1):19. PubMed ID: 28129774
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies.
    McGregor K; Bernatsky S; Colmegna I; Hudson M; Pastinen T; Labbe A; Greenwood CM
    Genome Biol; 2016 May; 17():84. PubMed ID: 27142380
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Data quality control in genetic case-control association studies.
    Anderson CA; Pettersson FH; Clarke GM; Cardon LR; Morris AP; Zondervan KT
    Nat Protoc; 2010 Sep; 5(9):1564-73. PubMed ID: 21085122
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Eight quick tips for including chromosome X in genome-wide association studies.
    Bellavance J; Wang L; Gagliano Taliun SA
    PLoS Comput Biol; 2024 Jun; 20(6):e1012160. PubMed ID: 38843110
    [No Abstract]   [Full Text] [Related]  

  • 9. Correcting for cell-type heterogeneity in epigenome-wide association studies: revisiting previous analyses.
    Zheng SC; Beck S; Jaffe AE; Koestler DC; Hansen KD; Houseman AE; Irizarry RA; Teschendorff AE
    Nat Methods; 2017 Feb; 14(3):216-217. PubMed ID: 28245219
    [No Abstract]   [Full Text] [Related]  

  • 10. A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.
    Teschendorff AE; Breeze CE; Zheng SC; Beck S
    BMC Bioinformatics; 2017 Feb; 18(1):105. PubMed ID: 28193155
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of different cell type correction methods for genome-scale epigenetics studies.
    Kaushal A; Zhang H; Karmaus WJJ; Ray M; Torres MA; Smith AK; Wang SL
    BMC Bioinformatics; 2017 Apr; 18(1):216. PubMed ID: 28410574
    [TBL] [Abstract][Full Text] [Related]  

  • 12. EWAS: epigenome-wide association study software 2.0.
    Xu J; Zhao L; Liu D; Hu S; Song X; Li J; Lv H; Duan L; Zhang M; Jiang Q; Liu G; Jin S; Liao M; Zhang M; Feng R; Kong F; Xu L; Jiang Y
    Bioinformatics; 2018 Aug; 34(15):2657-2658. PubMed ID: 29566144
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cell-type deconvolution in epigenome-wide association studies: a review and recommendations.
    Teschendorff AE; Zheng SC
    Epigenomics; 2017 May; 9(5):757-768. PubMed ID: 28517979
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Epigenome-wide association studies without the need for cell-type composition.
    Zou J; Lippert C; Heckerman D; Aryee M; Listgarten J
    Nat Methods; 2014 Mar; 11(3):309-11. PubMed ID: 24464286
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comparative analysis of cell-type adjustment methods for epigenome-wide association studies based on simulated and real data sets.
    Brägelmann J; Lorenzo Bermejo J
    Brief Bioinform; 2019 Nov; 20(6):2055-2065. PubMed ID: 30099476
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correcting for Sample Heterogeneity in Methylome-Wide Association Studies.
    Zou JY
    Methods Mol Biol; 2017; 1589():107-114. PubMed ID: 26246354
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.
    Rahmani E; Zaitlen N; Baran Y; Eng C; Hu D; Galanter J; Oh S; Burchard EG; Eskin E; Zou J; Halperin E
    Nat Methods; 2016 May; 13(5):443-5. PubMed ID: 27018579
    [TBL] [Abstract][Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

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

    [Next]    [New Search]
    of 3.