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 *

246 related articles for article (PubMed ID: 14565019)

  • 1. [Application of support vector machines to classification of blood cells].
    Wang H; Zheng C; Li Y; Zhu H; Yan X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Sep; 20(3):484-7. PubMed ID: 14565019
    [TBL] [Abstract][Full Text] [Related]  

  • 2. New support vector-based design method for binary hierarchical classifiers for multi-class classification problems.
    Wang YC; Casasent D
    Neural Netw; 2008; 21(2-3):502-10. PubMed ID: 18187285
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [SVM-aided cancer diagnosis based on the concentration of the macroelement and microelement in human blood].
    Yuan Q; Cai C; Xiao H; Liu X; Wen Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Jun; 24(3):513-8. PubMed ID: 17713251
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Support vector machine-based classification scheme for myoelectric control applied to upper limb.
    Oskoei MA; Hu H
    IEEE Trans Biomed Eng; 2008 Aug; 55(8):1956-65. PubMed ID: 18632358
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Classification of electrocardiogram signals with support vector machines and particle swarm optimization.
    Melgani F; Bazi Y
    IEEE Trans Inf Technol Biomed; 2008 Sep; 12(5):667-77. PubMed ID: 18779082
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ESVM: evolutionary support vector machine for automatic feature selection and classification of microarray data.
    Huang HL; Chang FL
    Biosystems; 2007; 90(2):516-28. PubMed ID: 17280775
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Protein structural class prediction with binary tree-based support vector machines].
    Zhang T; Ding Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Aug; 25(4):921-4. PubMed ID: 18788309
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnosing breast cancer based on support vector machines.
    Liu HX; Zhang RS; Luan F; Yao XJ; Liu MC; Hu ZD; Fan BT
    J Chem Inf Comput Sci; 2003; 43(3):900-7. PubMed ID: 12767148
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A support vector machine using the lazy learning approach for multi-class classification.
    Comak E; Arslan A
    J Med Eng Technol; 2006; 30(2):73-7. PubMed ID: 16531345
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Clustering technique-based least square support vector machine for EEG signal classification.
    Siuly ; Li Y; Wen PP
    Comput Methods Programs Biomed; 2011 Dec; 104(3):358-72. PubMed ID: 21168234
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-class support vector machines for protein secondary structure prediction.
    Nguyen MN; Rajapakse JC
    Genome Inform; 2003; 14():218-27. PubMed ID: 15706536
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Support vector classifiers via gradient systems with discontinuous righthand sides.
    Ferreira LV; Kaszkurewicz E; Bhaya A
    Neural Netw; 2006 Dec; 19(10):1612-23. PubMed ID: 17011165
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Granular support vector machines with association rules mining for protein homology prediction.
    Tang Y; Jin B; Zhang YQ
    Artif Intell Med; 2005; 35(1-2):121-34. PubMed ID: 16024240
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Low rank updated LS-SVM classifiers for fast variable selection.
    Ojeda F; Suykens JA; De Moor B
    Neural Netw; 2008; 21(2-3):437-49. PubMed ID: 18343309
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Handling missing values in support vector machine classifiers.
    Pelckmans K; De Brabanter J; Suykens JA; De Moor B
    Neural Netw; 2005; 18(5-6):684-92. PubMed ID: 16111866
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Support vector machine applications in bioinformatics.
    Byvatov E; Schneider G
    Appl Bioinformatics; 2003; 2(2):67-77. PubMed ID: 15130823
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.
    Niijima S; Kuhara S
    BMC Bioinformatics; 2006 Dec; 7():543. PubMed ID: 17187691
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
    Chen Z; Li J; Wei L
    Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis.
    Van Gestel T; Suykens JA; Lanckriet G; Lambrechts A; De Moor B; Vandewalle J
    Neural Comput; 2002 May; 14(5):1115-47. PubMed ID: 11972910
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.