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 *

146 related articles for article (PubMed ID: 22910106)

  • 1. Synergistic effect of different levels of genomic data for cancer clinical outcome prediction.
    Kim D; Shin H; Song YS; Kim JH
    J Biomed Inform; 2012 Dec; 45(6):1191-8. PubMed ID: 22910106
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Whole-Genome Multi-omic Study of Survival in Patients with Glioblastoma Multiforme.
    Bernal Rubio YL; González-Reymúndez A; Wu KH; Griguer CE; Steibel JP; de Los Campos G; Doseff A; Gallo K; Vazquez AI
    G3 (Bethesda); 2018 Nov; 8(11):3627-3636. PubMed ID: 30228192
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction.
    Kim D; Joung JG; Sohn KA; Shin H; Park YR; Ritchie MD; Kim JH
    J Am Med Inform Assoc; 2015 Jan; 22(1):109-20. PubMed ID: 25002459
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated genomic characterization of the kallikrein gene locus in cancer.
    Girgis AH; Bui A; White NM; Yousef GM
    Anticancer Res; 2012 Mar; 32(3):957-63. PubMed ID: 22399617
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MIRAGAA--a methodology for finding coordinated effects of microRNA expression changes and genome aberrations in cancer.
    Gaire RK; Bailey J; Bearfoot J; Campbell IG; Stuckey PJ; Haviv I
    Bioinformatics; 2010 Jan; 26(2):161-7. PubMed ID: 19933823
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An integrated analysis of germline and somatic, genetic and epigenetic alterations at 9p21.3 in glioblastoma.
    Feng J; Kim ST; Liu W; Kim JW; Zhang Z; Zhu Y; Berens M; Sun J; Xu J
    Cancer; 2012 Jan; 118(1):232-40. PubMed ID: 21713760
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian variable selection with graphical structure learning: Applications in integrative genomics.
    Kundu S; Cheng Y; Shin M; Manyam G; Mallick BK; Baladandayuthapani V
    PLoS One; 2018; 13(7):e0195070. PubMed ID: 30059495
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction.
    Kim D; Shin H; Sohn KA; Verma A; Ritchie MD; Kim JH
    Methods; 2014 Jun; 67(3):344-53. PubMed ID: 24561168
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Epigenetic mechanisms in glioblastoma multiforme.
    Nagarajan RP; Costello JF
    Semin Cancer Biol; 2009 Jun; 19(3):188-97. PubMed ID: 19429483
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intra-relation reconstruction from inter-relation: miRNA to gene expression.
    Kim D; Shin H; Joung JG; Lee SY; Kim JH
    BMC Syst Biol; 2013 Oct; 7 Suppl 3(Suppl 3):S8. PubMed ID: 24521265
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mixture classification model based on clinical markers for breast cancer prognosis.
    Zeng T; Liu J
    Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [OMICS and biomarkers of glial tumors].
    Idbaih A
    Rev Neurol (Paris); 2011 Oct; 167(10):691-8. PubMed ID: 21889780
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MiR-195, miR-196b, miR-181c, miR-21 expression levels and O-6-methylguanine-DNA methyltransferase methylation status are associated with clinical outcome in glioblastoma patients.
    Lakomy R; Sana J; Hankeova S; Fadrus P; Kren L; Lzicarova E; Svoboda M; Dolezelova H; Smrcka M; Vyzula R; Michalek J; Hajduch M; Slaby O
    Cancer Sci; 2011 Dec; 102(12):2186-90. PubMed ID: 21895872
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.
    Zhang S; Liu CC; Li W; Shen H; Laird PW; Zhou XJ
    Nucleic Acids Res; 2012 Oct; 40(19):9379-91. PubMed ID: 22879375
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors.
    Juric D; Bredel C; Sikic BI; Bredel M
    Methods Mol Biol; 2007; 377():187-202. PubMed ID: 17634618
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying master regulators of cancer and their downstream targets by integrating genomic and epigenomic features.
    Gevaert O; Plevritis S
    Pac Symp Biocomput; 2013; ():123-34. PubMed ID: 23424118
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genome-wide hypomethylation in human glioblastomas associated with specific copy number alteration, methylenetetrahydrofolate reductase allele status, and increased proliferation.
    Cadieux B; Ching TT; VandenBerg SR; Costello JF
    Cancer Res; 2006 Sep; 66(17):8469-76. PubMed ID: 16951158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer.
    Jeong HH; Leem S; Wee K; Sohn KA
    J Ovarian Res; 2015 Jul; 8():42. PubMed ID: 26138921
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrative genome-wide analysis reveals a robust genomic glioblastoma signature associated with copy number driving changes in gene expression.
    de Tayrac M; Etcheverry A; Aubry M; Saïkali S; Hamlat A; Quillien V; Le Treut A; Galibert MD; Mosser J
    Genes Chromosomes Cancer; 2009 Jan; 48(1):55-68. PubMed ID: 18828157
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Systemic Analysis of Transcriptomic and Epigenomic Data To Reveal Regulation Patterns for Complex Disease.
    Xu C; Zhang JG; Lin D; Zhang L; Shen H; Deng HW
    G3 (Bethesda); 2017 Jul; 7(7):2271-2279. PubMed ID: 28500050
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.