BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 27008014)

  • 1. Meta-Analysis in Gene Expression Studies.
    Waldron L; Riester M
    Methods Mol Biol; 2016; 1418():161-76. PubMed ID: 27008014
    [TBL] [Abstract][Full Text] [Related]  

  • 2. metahdep: meta-analysis of hierarchically dependent gene expression studies.
    Stevens JR; Nicholas G
    Bioinformatics; 2009 Oct; 25(19):2619-20. PubMed ID: 19648140
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Meta-analysis of cancer gene-profiling data.
    Yang X; Sun X
    Methods Mol Biol; 2010; 576():409-26. PubMed ID: 19882274
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computational diagnostics with gene expression profiles.
    Lottaz C; Kostka D; Markowetz F; Spang R
    Methods Mol Biol; 2008; 453():281-96. PubMed ID: 18712310
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Boolean implication networks derived from large scale, whole genome microarray datasets.
    Sahoo D; Dill DL; Gentles AJ; Tibshirani R; Plevritis SK
    Genome Biol; 2008 Oct; 9(10):R157. PubMed ID: 18973690
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mining published lists of cancer related microarray experiments: identification of a gene expression signature having a critical role in cell-cycle control.
    Finocchiaro G; Mancuso F; Muller H
    BMC Bioinformatics; 2005 Dec; 6 Suppl 4(Suppl 4):S14. PubMed ID: 16351740
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Robust microarray meta-analysis identifies differentially expressed genes for clinical prediction.
    Phan JH; Young AN; Wang MD
    ScientificWorldJournal; 2012; 2012():989637. PubMed ID: 23365541
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Combinatorial optimization models for finding genetic signatures from gene expression datasets.
    Berretta R; Costa W; Moscato P
    Methods Mol Biol; 2008; 453():363-77. PubMed ID: 18712314
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Gene expression data classification using locally linear discriminant embedding.
    Li B; Zheng CH; Huang DS; Zhang L; Han K
    Comput Biol Med; 2010 Oct; 40(10):802-10. PubMed ID: 20864095
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Expression and microarrays.
    Dopazo J; Al-Shahrour F
    Methods Mol Biol; 2008; 453():245-55. PubMed ID: 18712307
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hybrid Framework Using Multiple-Filters and an Embedded Approach for an Efficient Selection and Classification of Microarray Data.
    Bonilla-Huerta E; Hernández-Montiel A; Caporal RM; López MA
    IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(1):12-26. PubMed ID: 26336138
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detecting and profiling tissue-selective genes.
    Liang S; Li Y; Be X; Howes S; Liu W
    Physiol Genomics; 2006 Jul; 26(2):158-62. PubMed ID: 16684803
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CrossNorm: a novel normalization strategy for microarray data in cancers.
    Cheng L; Lo LY; Tang NL; Wang D; Leung KS
    Sci Rep; 2016 Jan; 6():18898. PubMed ID: 26732145
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combining Affymetrix microarray results.
    Stevens JR; Doerge RW
    BMC Bioinformatics; 2005 Mar; 6():57. PubMed ID: 15774008
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel approach to meta-analysis of microarray datasets reveals muscle remodeling-related drug targets and biomarkers in Duchenne muscular dystrophy.
    Kotelnikova E; Shkrob MA; Pyatnitskiy MA; Ferlini A; Daraselia N
    PLoS Comput Biol; 2012 Feb; 8(2):e1002365. PubMed ID: 22319435
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrated analysis of microarray results.
    Troyanskaya OG
    Methods Mol Biol; 2007; 382():429-37. PubMed ID: 18220247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis.
    Jaskowiak PA; Campello RJ; Costa IG
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(4):845-57. PubMed ID: 24334380
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach.
    Mukhopadhyay A; Mandal M
    IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1170-83. PubMed ID: 26357053
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in individual and meta-analysis studies.
    Martini P; Risso D; Sales G; Romualdi C; Lanfranchi G; Cagnin S
    BMC Bioinformatics; 2011 Apr; 12():92. PubMed ID: 21481242
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application to carcinogenic development.
    De RK; Ghosh A
    J Biomed Inform; 2009 Dec; 42(6):1022-8. PubMed ID: 19591962
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.