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 *

293 related articles for article (PubMed ID: 15087314)

  • 1. A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression.
    Li T; Zhang C; Ogihara M
    Bioinformatics; 2004 Oct; 20(15):2429-37. PubMed ID: 15087314
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.
    Zhou X; Tuck DP
    Bioinformatics; 2007 May; 23(9):1106-14. PubMed ID: 17494773
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiclass classification of microarray data samples with a reduced number of genes.
    Tapia E; Ornella L; Bulacio P; Angelone L
    BMC Bioinformatics; 2011 Feb; 12():59. PubMed ID: 21342522
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Instance-based concept learning from multiclass DNA microarray data.
    Berrar D; Bradbury I; Dubitzky W
    BMC Bioinformatics; 2006 Feb; 7():73. PubMed ID: 16483361
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A genetic programming-based approach to the classification of multiclass microarray datasets.
    Liu KH; Xu CG
    Bioinformatics; 2009 Feb; 25(3):331-7. PubMed ID: 19088122
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Toward a measure of classification complexity in gene expression signatures.
    Kamath V; Yeatman TJ; Eschrich SA
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5704-7. PubMed ID: 19164012
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Multiclass molecular cancer classification by kernel subspace methods with effective kernel parameter selection.
    Niijima S; Kuhara S
    J Bioinform Comput Biol; 2005 Oct; 3(5):1071-88. PubMed ID: 16278948
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates.
    Anand A; Suganthan PN
    J Theor Biol; 2009 Aug; 259(3):533-40. PubMed ID: 19406131
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Minimum number of genes for microarray feature selection.
    Baralis E; Bruno G; Fiori A
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5692-5. PubMed ID: 19164009
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis.
    Lu C; Devos A; Suykens JA; ArĂºs C; Van Huffel S
    IEEE Trans Inf Technol Biomed; 2007 May; 11(3):338-47. PubMed ID: 17521084
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A fast gene selection method for multi-cancer classification using multiple support vector data description.
    Cao J; Zhang L; Wang B; Li F; Yang J
    J Biomed Inform; 2015 Feb; 53():381-9. PubMed ID: 25549938
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robust and accurate cancer classification with gene expression profiling.
    Li H; Zhang K; Jiang T
    Proc IEEE Comput Syst Bioinform Conf; 2005; ():310-21. PubMed ID: 16447988
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clustering gene expression data with kernel principal components.
    Liu Z; Chen D; Bensmail H; Xu Y
    J Bioinform Comput Biol; 2005 Apr; 3(2):303-16. PubMed ID: 15852507
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data.
    Ooi CH; Chetty M; Teng SW
    BMC Bioinformatics; 2006 Jun; 7():320. PubMed ID: 16796748
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiclass cancer classification and biomarker discovery using GA-based algorithms.
    Liu JJ; Cutler G; Li W; Pan Z; Peng S; Hoey T; Chen L; Ling XB
    Bioinformatics; 2005 Jun; 21(11):2691-7. PubMed ID: 15814557
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiclass fMRI data decoding and visualization using supervised self-organizing maps.
    Hausfeld L; Valente G; Formisano E
    Neuroimage; 2014 Aug; 96():54-66. PubMed ID: 24531045
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving biomolecular pattern discovery and visualization with hybrid self-adaptive networks.
    Wang H; Azuaje F; Black N
    IEEE Trans Nanobioscience; 2002 Dec; 1(4):146-66. PubMed ID: 16689206
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multidimensional support vector machines for visualization of gene expression data.
    Komura D; Nakamura H; Tsutsumi S; Aburatani H; Ihara S
    Bioinformatics; 2005 Feb; 21(4):439-44. PubMed ID: 15608050
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reliable classification of two-class cancer data using evolutionary algorithms.
    Deb K; Raji Reddy A
    Biosystems; 2003 Nov; 72(1-2):111-29. PubMed ID: 14642662
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.