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 *

134 related articles for article (PubMed ID: 31711526)

  • 1. Virtual methylome dissection facilitated by single-cell analyses.
    Yin L; Luo Y; Xu X; Wen S; Wu X; Lu X; Xie H
    Epigenetics Chromatin; 2019 Nov; 12(1):66. PubMed ID: 31711526
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrative single-cell omics analyses reveal epigenetic heterogeneity in mouse embryonic stem cells.
    Luo Y; He J; Xu X; Sun MA; Wu X; Lu X; Xie H
    PLoS Comput Biol; 2018 Mar; 14(3):e1006034. PubMed ID: 29561833
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Epigenetic regulation of neuronal cell specification inferred with single cell "Omics" data.
    Yin L; Banerjee S; Fan J; He J; Lu X; Xie H
    Comput Struct Biotechnol J; 2020; 18():942-952. PubMed ID: 32368329
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Simultaneous profiling of transcriptome and DNA methylome from a single cell.
    Hu Y; Huang K; An Q; Du G; Hu G; Xue J; Zhu X; Wang CY; Xue Z; Fan G
    Genome Biol; 2016 May; 17():88. PubMed ID: 27150361
    [TBL] [Abstract][Full Text] [Related]  

  • 5. scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution.
    Kapourani CA; Argelaguet R; Sanguinetti G; Vallejos CA
    Genome Biol; 2021 Apr; 22(1):114. PubMed ID: 33879195
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data.
    Teschendorff AE; Zhu T; Breeze CE; Beck S
    Genome Biol; 2020 Sep; 21(1):221. PubMed ID: 32883324
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data.
    Gaspar JM; Hart RP
    BMC Bioinformatics; 2017 Nov; 18(1):528. PubMed ID: 29187143
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Insights from multidimensional analyses of the pan-cancer DNA methylome heterogeneity and the uncanonical CpG-gene associations.
    Liu Y; Huang R; Liu Y; Song W; Wang Y; Yang Y; Dong S; Yang X
    Int J Cancer; 2018 Dec; 143(11):2814-2827. PubMed ID: 30121964
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genome-wide DNA methylation analysis reveals loci that distinguish different types of adipose tissue in obese individuals.
    Macartney-Coxson D; Benton MC; Blick R; Stubbs RS; Hagan RD; Langston MA
    Clin Epigenetics; 2017; 9():48. PubMed ID: 28473875
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cell-Type Deconvolution of Bulk DNA Methylation Data with EpiSCORE.
    Zhu T; Teschendorff AE
    Methods Mol Biol; 2023; 2629():23-42. PubMed ID: 36929072
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Simultaneous Profiling of mRNA Transcriptome and DNA Methylome from a Single Cell.
    Hu Y; An Q; Guo Y; Zhong J; Fan S; Rao P; Liu X; Liu Y; Fan G
    Methods Mol Biol; 2019; 1979():363-377. PubMed ID: 31028648
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DNA Methylome Analyses Implicate Fallopian Tube Epithelia as the Origin for High-Grade Serous Ovarian Cancer.
    Klinkebiel D; Zhang W; Akers SN; Odunsi K; Karpf AR
    Mol Cancer Res; 2016 Sep; 14(9):787-94. PubMed ID: 27259716
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome.
    Gravina S; Dong X; Yu B; Vijg J
    Genome Biol; 2016 Jul; 17(1):150. PubMed ID: 27380908
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Melissa: Bayesian clustering and imputation of single-cell methylomes.
    Kapourani CA; Sanguinetti G
    Genome Biol; 2019 Mar; 20(1):61. PubMed ID: 30898142
    [TBL] [Abstract][Full Text] [Related]  

  • 16. HeteroMeth: A Database of Cell-to-cell Heterogeneity in DNA Methylation.
    Huan Q; Zhang Y; Wu S; Qian W
    Genomics Proteomics Bioinformatics; 2018 Aug; 16(4):234-243. PubMed ID: 30196115
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reference-free deconvolution of DNA methylation data and mediation by cell composition effects.
    Houseman EA; Kile ML; Christiani DC; Ince TA; Kelsey KT; Marsit CJ
    BMC Bioinformatics; 2016 Jun; 17():259. PubMed ID: 27358049
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MethBank 3.0: a database of DNA methylomes across a variety of species.
    Li R; Liang F; Li M; Zou D; Sun S; Zhao Y; Zhao W; Bao Y; Xiao J; Zhang Z
    Nucleic Acids Res; 2018 Jan; 46(D1):D288-D295. PubMed ID: 29161430
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Characterization and machine learning prediction of allele-specific DNA methylation.
    He J; Sun MA; Wang Z; Wang Q; Li Q; Xie H
    Genomics; 2015 Dec; 106(6):331-9. PubMed ID: 26407641
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A concise review of human brain methylome during aging and neurodegenerative diseases.
    Prasad R; Jho EH
    BMB Rep; 2019 Oct; 52(10):577-588. PubMed ID: 31462381
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.