BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

270 related articles for article (PubMed ID: 15297074)

  • 1. Prediction of CTL epitopes using QM, SVM and ANN techniques.
    Bhasin M; Raghava GP
    Vaccine; 2004 Aug; 22(23-24):3195-204. PubMed ID: 15297074
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of transmembrane regions of beta-barrel proteins using ANN- and SVM-based methods.
    Natt NK; Kaur H; Raghava GP
    Proteins; 2004 Jul; 56(1):11-8. PubMed ID: 15162482
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of machine learning techniques in predicting MHC binders.
    Lata S; Bhasin M; Raghava GP
    Methods Mol Biol; 2007; 409():201-15. PubMed ID: 18450002
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence.
    Bhasin M; Raghava GP
    Bioinformatics; 2004 Feb; 20(3):421-3. PubMed ID: 14960470
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A; Raghava GP
    In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of T-cell epitopes based on least squares support vector machines and amino acid properties.
    Li S; Yao X; Liu H; Li J; Fan B
    Anal Chim Acta; 2007 Feb; 584(1):37-42. PubMed ID: 17386582
    [TBL] [Abstract][Full Text] [Related]  

  • 7. POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.
    Tung CW; Ho SY
    Bioinformatics; 2007 Apr; 23(8):942-9. PubMed ID: 17384427
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Neural network-based prediction of candidate T-cell epitopes.
    Honeyman MC; Brusic V; Stone NL; Harrison LC
    Nat Biotechnol; 1998 Oct; 16(10):966-9. PubMed ID: 9788355
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Markerless gating for lung cancer radiotherapy based on machine learning techniques.
    Lin T; Li R; Tang X; Dy JG; Jiang SB
    Phys Med Biol; 2009 Mar; 54(6):1555-63. PubMed ID: 19229098
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Rule induction algorithm for brain glioma using support vector machine].
    Li G; Yang J; Wang J; Geng D
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Apr; 23(2):410-2. PubMed ID: 16706378
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of MHC-binding peptides of flexible lengths from sequence-derived structural and physicochemical properties.
    Cui J; Han LY; Lin HH; Zhang HL; Tang ZQ; Zheng CJ; Cao ZW; Chen YZ
    Mol Immunol; 2007 Feb; 44(5):866-77. PubMed ID: 16806474
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of continuous B-cell epitopes in an antigen using recurrent neural network.
    Saha S; Raghava GP
    Proteins; 2006 Oct; 65(1):40-8. PubMed ID: 16894596
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods.
    Cho BH; Yu H; Kim KW; Kim TH; Kim IY; Kim SI
    Artif Intell Med; 2008 Jan; 42(1):37-53. PubMed ID: 17997291
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting protein secondary structure by a support vector machine based on a new coding scheme.
    Wang LH; Liu J; Li YF; Zhou HB
    Genome Inform; 2004; 15(2):181-90. PubMed ID: 15706504
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes.
    Bhasin M; Raghava GP
    J Biosci; 2007 Jan; 32(1):31-42. PubMed ID: 17426378
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy.
    Wang D; Larder B; Revell A; Montaner J; Harrigan R; De Wolf F; Lange J; Wegner S; Ruiz L; Pérez-Elías MJ; Emery S; Gatell J; D'Arminio Monforte A; Torti C; Zazzi M; Lane C
    Artif Intell Med; 2009 Sep; 47(1):63-74. PubMed ID: 19524413
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of support vector machine and artificial neural network systems for drug/nondrug classification.
    Byvatov E; Fechner U; Sadowski J; Schneider G
    J Chem Inf Comput Sci; 2003; 43(6):1882-9. PubMed ID: 14632437
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of an H-2D(b)-restricted CD8+ cytotoxic T lymphocyte epitope in the matrix protein of respiratory syncytial virus.
    Rutigliano JA; Rock MT; Johnson AK; Crowe JE; Graham BS
    Virology; 2005 Jul; 337(2):335-43. PubMed ID: 15916793
    [TBL] [Abstract][Full Text] [Related]  

  • 19. AlgPred: prediction of allergenic proteins and mapping of IgE epitopes.
    Saha S; Raghava GP
    Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W202-9. PubMed ID: 16844994
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting motor vehicle crashes using Support Vector Machine models.
    Li X; Lord D; Zhang Y; Xie Y
    Accid Anal Prev; 2008 Jul; 40(4):1611-8. PubMed ID: 18606297
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.