BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

395 related articles for article (PubMed ID: 27040832)

  • 1. InterSIM: Simulation tool for multiple integrative 'omic datasets'.
    Chalise P; Raghavan R; Fridley BL
    Comput Methods Programs Biomed; 2016 May; 128():69-74. PubMed ID: 27040832
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrative clustering of multi-level 'omic data based on non-negative matrix factorization algorithm.
    Chalise P; Fridley BL
    PLoS One; 2017; 12(5):e0176278. PubMed ID: 28459819
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MEXPRESS: visualizing expression, DNA methylation and clinical TCGA data.
    Koch A; De Meyer T; Jeschke J; Van Criekinge W
    BMC Genomics; 2015 Aug; 16(1):636. PubMed ID: 26306699
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pathway-based visualization of cross-platform microarray datasets.
    Wrzodek C; Eichner J; Zell A
    Bioinformatics; 2012 Dec; 28(23):3021-6. PubMed ID: 23047564
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Principles and methods of integrative genomic analyses in cancer.
    Kristensen VN; Lingjærde OC; Russnes HG; Vollan HK; Frigessi A; Børresen-Dale AL
    Nat Rev Cancer; 2014 May; 14(5):299-313. PubMed ID: 24759209
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue.
    Pineda AL; Ogoe HA; Balasubramanian JB; Rangel Escareño C; Visweswaran S; Herman JG; Gopalakrishnan V
    BMC Cancer; 2016 Mar; 16():184. PubMed ID: 26944944
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrative Exploratory Analysis of Two or More Genomic Datasets.
    Meng C; Culhane A
    Methods Mol Biol; 2016; 1418():19-38. PubMed ID: 27008008
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification.
    Wu D; Wang D; Zhang MQ; Gu J
    BMC Genomics; 2015 Dec; 16():1022. PubMed ID: 26626453
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Making Use of Cancer Genomic Databases.
    Creighton CJ
    Curr Protoc Mol Biol; 2018 Jan; 121():19.14.1-19.14.13. PubMed ID: 29337373
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.
    Planey CR; Gevaert O
    Genome Med; 2016 Mar; 8(1):27. PubMed ID: 26961683
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Practical Guide to The Cancer Genome Atlas (TCGA).
    Wang Z; Jensen MA; Zenklusen JC
    Methods Mol Biol; 2016; 1418():111-41. PubMed ID: 27008012
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. BEclear: Batch Effect Detection and Adjustment in DNA Methylation Data.
    Akulenko R; Merl M; Helms V
    PLoS One; 2016; 11(8):e0159921. PubMed ID: 27559732
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering.
    Arora A; Olshen AB; Seshan VE; Shen R
    Genome Med; 2020 Dec; 12(1):110. PubMed ID: 33272320
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clusternomics: Integrative context-dependent clustering for heterogeneous datasets.
    Gabasova E; Reid J; Wernisch L
    PLoS Comput Biol; 2017 Oct; 13(10):e1005781. PubMed ID: 29036190
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Consensus framework for exploring microarray data using multiple clustering methods.
    Laderas T; McWeeney S
    OMICS; 2007; 11(1):116-28. PubMed ID: 17411399
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MethCNA: a database for integrating genomic and epigenomic data in human cancer.
    Deng G; Yang J; Zhang Q; Xiao ZX; Cai H
    BMC Genomics; 2018 Feb; 19(1):138. PubMed ID: 29433427
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus.
    Cai M; Li L
    BMC Med Genomics; 2017 Dec; 10(Suppl 4):75. PubMed ID: 29322925
    [TBL] [Abstract][Full Text] [Related]  

  • 20. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data.
    Colaprico A; Silva TC; Olsen C; Garofano L; Cava C; Garolini D; Sabedot TS; Malta TM; Pagnotta SM; Castiglioni I; Ceccarelli M; Bontempi G; Noushmehr H
    Nucleic Acids Res; 2016 May; 44(8):e71. PubMed ID: 26704973
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.