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 *

857 related articles for article (PubMed ID: 15826317)

  • 1. Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery.
    Grate LR
    BMC Bioinformatics; 2005 Apr; 6():97. PubMed ID: 15826317
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In silico microdissection of microarray data from heterogeneous cell populations.
    Lähdesmäki H; Shmulevich L; Dunmire V; Yli-Harja O; Zhang W
    BMC Bioinformatics; 2005 Mar; 6():54. PubMed ID: 15766384
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 108(2 Pt 2):E29-35. PubMed ID: 21435154
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Regularized Least Squares Cancer classifiers from DNA microarray data.
    Ancona N; Maglietta R; D'Addabbo A; Liuni S; Pesole G
    BMC Bioinformatics; 2005 Dec; 6 Suppl 4(Suppl 4):S2. PubMed ID: 16351746
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Tumor classification ranking from microarray data.
    Hewett R; Kijsanayothin P
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accurate cancer classification using expressions of very few genes.
    Wang L; Chu F; Xie W
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(1):40-53. PubMed ID: 17277412
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. What should be expected from feature selection in small-sample settings.
    Sima C; Dougherty ER
    Bioinformatics; 2006 Oct; 22(19):2430-6. PubMed ID: 16870934
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A stable iterative method for refining discriminative gene clusters.
    Xu M; Zhu M; Zhang L
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S18. PubMed ID: 18831783
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of microarray data with factor mixture models.
    Martella F
    Bioinformatics; 2006 Jan; 22(2):202-8. PubMed ID: 16287938
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
    Shedden K; Chen W; Kuick R; Ghosh D; Macdonald J; Cho KR; Giordano TJ; Gruber SB; Fearon ER; Taylor JM; Hanash S
    BMC Bioinformatics; 2005 Feb; 6():26. PubMed ID: 15705192
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 99(22):1715-23. PubMed ID: 18000217
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new classification model with simple decision rule for discovering optimal feature gene pairs.
    Li J; Tang X
    Comput Biol Med; 2007 Nov; 37(11):1637-46. PubMed ID: 17482157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Consensus analysis of multiple classifiers using non-repetitive variables: diagnostic application to microarray gene expression data.
    Su Z; Hong H; Perkins R; Shao X; Cai W; Tong W
    Comput Biol Chem; 2007 Feb; 31(1):48-56. PubMed ID: 17303535
    [TBL] [Abstract][Full Text] [Related]  

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

  • 16. A gene selection method for classifying cancer samples using 1D discrete wavelet transform.
    Jose A; Mugler D; Duan ZH
    Int J Comput Biol Drug Des; 2009; 2(4):398-411. PubMed ID: 20090179
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Relevant and significant supervised gene clusters for microarray cancer classification.
    Maji P; Das C
    IEEE Trans Nanobioscience; 2012 Jun; 11(2):161-8. PubMed ID: 22552589
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Design and evaluation of Actichip, a thematic microarray for the study of the actin cytoskeleton.
    Muller J; Mehlen A; Vetter G; Yatskou M; Muller A; Chalmel F; Poch O; Friederich E; Vallar L
    BMC Genomics; 2007 Aug; 8():294. PubMed ID: 17727702
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A leukemia-enriched cDNA microarray platform identifies new transcripts with relevance to the biology of pediatric acute lymphoblastic leukemia.
    De Pittà C; Tombolan L; Campo Dell'Orto M; Accordi B; te Kronnie G; Romualdi C; Vitulo N; Basso G; Lanfranchi G
    Haematologica; 2005 Jul; 90(7):890-8. PubMed ID: 15996926
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 43.