BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 25250875)

  • 1. A novel method for detecting association between DNA methylation and diseases using spatial information.
    Yip WK; Fier H; DeMeo DL; Aryee M; Laird N; Lange C
    Genet Epidemiol; 2014 Dec; 38(8):714-21. PubMed ID: 25250875
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Redundancy analysis allows improved detection of methylation changes in large genomic regions.
    Ruiz-Arenas C; González JR
    BMC Bioinformatics; 2017 Dec; 18(1):553. PubMed ID: 29237399
    [TBL] [Abstract][Full Text] [Related]  

  • 3. QDMR: a quantitative method for identification of differentially methylated regions by entropy.
    Zhang Y; Liu H; Lv J; Xiao X; Zhu J; Liu X; Su J; Li X; Wu Q; Wang F; Cui Y
    Nucleic Acids Res; 2011 May; 39(9):e58. PubMed ID: 21306990
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of functionally methylated regions based on discriminant analysis through integrating methylation and gene expression data.
    Zhang Y; Zhang J
    Mol Biosyst; 2015 Jul; 11(7):1786-93. PubMed ID: 25865601
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ranking genomic features using an information-theoretic measure of epigenetic discordance.
    Jenkinson G; Abante J; Koldobskiy MA; Feinberg AP; Goutsias J
    BMC Bioinformatics; 2019 Apr; 20(1):175. PubMed ID: 30961526
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of Differentially Methylated Regions Using Bayes Factor for Ordinal Group Responses.
    Dunbar F; Xu H; Ryu D; Ghosh S; Shi H; George V
    Genes (Basel); 2019 Sep; 10(9):. PubMed ID: 31533352
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genomic Clustering of differential DNA methylated regions (epimutations) associated with the epigenetic transgenerational inheritance of disease and phenotypic variation.
    Haque MM; Nilsson EE; Holder LB; Skinner MK
    BMC Genomics; 2016 Jun; 17():418. PubMed ID: 27245821
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Nonparametric Bayesian clustering to detect bipolar methylated genomic loci.
    Wu X; Sun MA; Zhu H; Xie H
    BMC Bioinformatics; 2015 Jan; 16():11. PubMed ID: 25592753
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational Methods for Detection of Differentially Methylated Regions Using Kernel Distance and Scan Statistics.
    Dunbar F; Xu H; Ryu D; Ghosh S; Shi H; George V
    Genes (Basel); 2019 Apr; 10(4):. PubMed ID: 31013791
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Methods for identifying differentially methylated regions for sequence- and array-based data.
    Chen DP; Lin YC; Fann CS
    Brief Funct Genomics; 2016 Nov; 15(6):485-490. PubMed ID: 27323952
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of differentially methylated regions from whole-genome bisulfite sequencing data without replicates.
    Wu H; Xu T; Feng H; Chen L; Li B; Yao B; Qin Z; Jin P; Conneely KN
    Nucleic Acids Res; 2015 Dec; 43(21):e141. PubMed ID: 26184873
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genome-wide characterization of aberrant DNA methylation patterns and the potential clinical implications in patients with endometrial cancer.
    Wang Y; Liu D; Jin X; Song H; Lou G
    Pathol Res Pract; 2019 Jan; 215(1):137-143. PubMed ID: 30449607
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of novel and existing methods for detecting differentially methylated regions.
    Lent S; Xu H; Wang L; Wang Z; Sarnowski C; Hivert MF; Dupuis J
    BMC Genet; 2018 Sep; 19(Suppl 1):84. PubMed ID: 30255775
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detecting differential DNA methylation from sequencing of bisulfite converted DNA of diverse species.
    Huh I; Wu X; Park T; Yi SV
    Brief Bioinform; 2019 Jan; 20(1):33-46. PubMed ID: 28981571
    [TBL] [Abstract][Full Text] [Related]  

  • 15. coMethDMR: accurate identification of co-methylated and differentially methylated regions in epigenome-wide association studies with continuous phenotypes.
    Gomez L; Odom GJ; Young JI; Martin ER; Liu L; Chen X; Griswold AJ; Gao Z; Zhang L; Wang L
    Nucleic Acids Res; 2019 Sep; 47(17):e98. PubMed ID: 31291459
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genome-wide analysis of aberrant DNA methylation for identification of potential biomarkers in colorectal cancer patients.
    Fang WJ; Zheng Y; Wu LM; Ke QH; Shen H; Yuan Y; Zheng SS
    Asian Pac J Cancer Prev; 2012; 13(5):1917-21. PubMed ID: 22901147
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A region-based method for causal mediation analysis of DNA methylation data.
    Yan Q; Forno E; Celedón JC; Chen W
    Epigenetics; 2022 Mar; 17(3):286-296. PubMed ID: 33757385
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genome-Wide DNA Methylation and Its Effect on Gene Expression During Subclinical Mastitis in Water Buffalo.
    Nayan V; Singh K; Iquebal MA; Jaiswal S; Bhardwaj A; Singh C; Bhatia T; Kumar S; Singh R; Swaroop MN; Kumar R; Phulia SK; Bharadwaj A; Datta TK; Rai A; Kumar D
    Front Genet; 2022; 13():828292. PubMed ID: 35368672
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The DNA methylation profile of liver tumors in C3H mice and identification of differentially methylated regions involved in the regulation of tumorigenic genes.
    Matsushita J; Okamura K; Nakabayashi K; Suzuki T; Horibe Y; Kawai T; Sakurai T; Yamashita S; Higami Y; Ichihara G; Hata K; Nohara K
    BMC Cancer; 2018 Mar; 18(1):317. PubMed ID: 29566670
    [TBL] [Abstract][Full Text] [Related]  

  • 20. GWAS of DNA methylation variation within imprinting control regions suggests parent-of-origin association.
    Rentería ME; Coolen MW; Statham AL; Choi RS; Qu W; Campbell MJ; Smith S; Henders AK; Montgomery GW; Clark SJ; Martin NG; Medland SE
    Twin Res Hum Genet; 2013 Aug; 16(4):767-81. PubMed ID: 23725790
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.