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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

587 related items for PubMed ID: 14633289

  • 1. Cross-platform comparison and visualisation of gene expression data using co-inertia analysis.
    Culhane AC, Perrière G, Higgins DG.
    BMC Bioinformatics; 2003 Nov 21; 4():59. PubMed ID: 14633289
    [Abstract] [Full Text] [Related]

  • 2. PubMatrix: a tool for multiplex literature mining.
    Becker KG, Hosack DA, Dennis G, Lempicki RA, Bright TJ, Cheadle C, Engel J.
    BMC Bioinformatics; 2003 Dec 10; 4():61. PubMed ID: 14667255
    [Abstract] [Full Text] [Related]

  • 3. Cross platform microarray analysis for robust identification of differentially expressed genes.
    Bosotti R, Locatelli G, Healy S, Scacheri E, Sartori L, Mercurio C, Calogero R, Isacchi A.
    BMC Bioinformatics; 2007 Mar 08; 8 Suppl 1(Suppl 1):S5. PubMed ID: 17430572
    [Abstract] [Full Text] [Related]

  • 4. Challenges in projecting clustering results across gene expression-profiling datasets.
    Lusa L, McShane LM, Reid JF, De Cecco L, Ambrogi F, Biganzoli E, Gariboldi M, Pierotti MA.
    J Natl Cancer Inst; 2007 Nov 21; 99(22):1715-23. PubMed ID: 18000217
    [Abstract] [Full Text] [Related]

  • 5. A multivariate analysis approach to the integration of proteomic and gene expression data.
    Fagan A, Culhane AC, Higgins DG.
    Proteomics; 2007 Jun 21; 7(13):2162-71. PubMed ID: 17549791
    [Abstract] [Full Text] [Related]

  • 6. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
    Maruschke M, Reuter D, Koczan D, Hakenberg OW, Thiesen HJ.
    BJU Int; 2011 Jul 21; 108(2 Pt 2):E29-35. PubMed ID: 21435154
    [Abstract] [Full Text] [Related]

  • 7. Identification of genes involved in squamous cell carcinoma of the lung using synchronized data from DNA copy number and transcript expression profiling analysis.
    Lo KC, Stein LC, Panzarella JA, Cowell JK, Hawthorn L.
    Lung Cancer; 2008 Mar 21; 59(3):315-31. PubMed ID: 18029052
    [Abstract] [Full Text] [Related]

  • 8. CLOE: identification of putative functional relationships among genes by comparison of expression profiles between two species.
    Pellegrino M, Provero P, Silengo L, Di Cunto F.
    BMC Bioinformatics; 2004 Nov 19; 5():179. PubMed ID: 15550177
    [Abstract] [Full Text] [Related]

  • 9. MILANO--custom annotation of microarray results using automatic literature searches.
    Rubinstein R, Simon I.
    BMC Bioinformatics; 2005 Jan 20; 6():12. PubMed ID: 15661078
    [Abstract] [Full Text] [Related]

  • 10. Highly expressed genes in pancreatic ductal adenocarcinomas: a comprehensive characterization and comparison of the transcription profiles obtained from three major technologies.
    Iacobuzio-Donahue CA, Ashfaq R, Maitra A, Adsay NV, Shen-Ong GL, Berg K, Hollingsworth MA, Cameron JL, Yeo CJ, Kern SE, Goggins M, Hruban RH.
    Cancer Res; 2003 Dec 15; 63(24):8614-22. PubMed ID: 14695172
    [Abstract] [Full Text] [Related]

  • 11. Pattern identification and classification in gene expression data using an autoassociative neural network model.
    Bicciato S, Pandin M, Didonè G, Di Bello C.
    Biotechnol Bioeng; 2003 Mar 05; 81(5):594-606. PubMed ID: 12514809
    [Abstract] [Full Text] [Related]

  • 12. A rapid method for microarray cross platform comparisons using gene expression signatures.
    Cheadle C, Becker KG, Cho-Chung YS, Nesterova M, Watkins T, Wood W, Prabhu V, Barnes KC.
    Mol Cell Probes; 2007 Feb 05; 21(1):35-46. PubMed ID: 16982174
    [Abstract] [Full Text] [Related]

  • 13. Robust classification modeling on microarray data using misclassification penalized posterior.
    Soukup M, Cho H, Lee JK.
    Bioinformatics; 2005 Jun 05; 21 Suppl 1():i423-30. PubMed ID: 15961487
    [Abstract] [Full Text] [Related]

  • 14. Comparative analysis and integrative classification of NCI60 cell lines and primary tumors using gene expression profiling data.
    Wang H, Huang S, Shou J, Su EW, Onyia JE, Liao B, Li S.
    BMC Genomics; 2006 Jul 03; 7():166. PubMed ID: 16817967
    [Abstract] [Full Text] [Related]

  • 15. Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays.
    Wang Y, Barbacioru C, Hyland F, Xiao W, Hunkapiller KL, Blake J, Chan F, Gonzalez C, Zhang L, Samaha RR.
    BMC Genomics; 2006 Mar 21; 7():59. PubMed ID: 16551369
    [Abstract] [Full Text] [Related]

  • 16. A GMM-IG framework for selecting genes as expression panel biomarkers.
    Wang M, Chen JY.
    Artif Intell Med; 2010 Mar 21; 48(2-3):75-82. PubMed ID: 20004087
    [Abstract] [Full Text] [Related]

  • 17. DNA microarray data and contextual analysis of correlation graphs.
    Rougemont J, Hingamp P.
    BMC Bioinformatics; 2003 Apr 29; 4():15. PubMed ID: 12720549
    [Abstract] [Full Text] [Related]

  • 18. Time-dependent changes in ARE-driven gene expression by use of a noise-filtering process for microarray data.
    Li J, Johnson JA.
    Physiol Genomics; 2002 Apr 29; 9(3):137-44. PubMed ID: 12045294
    [Abstract] [Full Text] [Related]

  • 19. [Gene expression profiles in the diagnosis and prognosis of cancer].
    Kopper L, Tímár J.
    Magy Onkol; 2002 Apr 29; 46(1):3-9. PubMed ID: 12050676
    [Abstract] [Full Text] [Related]

  • 20. Meta-analysis of cancer gene-profiling data.
    Yang X, Sun X.
    Methods Mol Biol; 2010 Apr 29; 576():409-26. PubMed ID: 19882274
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 30.