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 *

103 related articles for article (PubMed ID: 16584317)

  • 1. Diffusion kernel-based logistic regression models for protein function prediction.
    Lee H; Tu Z; Deng M; Sun F; Chen T
    OMICS; 2006; 10(1):40-55. PubMed ID: 16584317
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of protein function using protein-protein interaction data.
    Deng M; Zhang K; Mehta S; Chen T; Sun F
    Proc IEEE Comput Soc Bioinform Conf; 2002; 1():197-206. PubMed ID: 15838136
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Kernel methods for predicting protein-protein interactions.
    Ben-Hur A; Noble WS
    Bioinformatics; 2005 Jun; 21 Suppl 1():i38-46. PubMed ID: 15961482
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Network based prediction of protein localisation using diffusion kernel.
    Mondal A; Hu J
    Int J Data Min Bioinform; 2014; 9(4):386-400. PubMed ID: 25757246
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of protein function using protein-protein interaction data.
    Deng M; Zhang K; Mehta S; Chen T; Sun F
    J Comput Biol; 2003; 10(6):947-60. PubMed ID: 14980019
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An integrated probabilistic model for functional prediction of proteins.
    Deng M; Chen T; Sun F
    J Comput Biol; 2004; 11(2-3):463-75. PubMed ID: 15285902
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fast protein classification with multiple networks.
    Tsuda K; Shin H; Schölkopf B
    Bioinformatics; 2005 Sep; 21 Suppl 2():ii59-65. PubMed ID: 16204126
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.
    Nabieva E; Jim K; Agarwal A; Chazelle B; Singh M
    Bioinformatics; 2005 Jun; 21 Suppl 1():i302-10. PubMed ID: 15961472
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrative approaches to the prediction of protein functions based on the feature selection.
    Ko S; Lee H
    BMC Bioinformatics; 2009 Dec; 10():455. PubMed ID: 20043848
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of protein subcellular localization.
    Yu CS; Chen YC; Lu CH; Hwang JK
    Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of ubiquitin proteins using artificial neural networks, hidden markov model and support vector machines.
    Jaiswal K
    In Silico Biol; 2007; 7(6):559-68. PubMed ID: 18467768
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning of Protein Interactions in Fungal Secretory Pathways.
    Kludas J; Arvas M; Castillo S; Pakula T; Oja M; Brouard C; Jäntti J; Penttilä M; Rousu J
    PLoS One; 2016; 11(7):e0159302. PubMed ID: 27441920
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian Markov Random Field analysis for protein function prediction based on network data.
    Kourmpetis YA; van Dijk AD; Bink MC; van Ham RC; ter Braak CJ
    PLoS One; 2010 Feb; 5(2):e9293. PubMed ID: 20195360
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved functional prediction of proteins by learning kernel combinations in multilabel settings.
    Roth V; Fischer B
    BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S12. PubMed ID: 17493250
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Disease gene identification by using graph kernels and Markov random fields.
    Chen B; Li M; Wang J; Wu FX
    Sci China Life Sci; 2014 Nov; 57(11):1054-63. PubMed ID: 25326067
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Global protein function prediction from protein-protein interaction networks.
    Vazquez A; Flammini A; Maritan A; Vespignani A
    Nat Biotechnol; 2003 Jun; 21(6):697-700. PubMed ID: 12740586
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Protein domain annotation with integration of heterogeneous information sources.
    Zhao XM; Wang Y; Chen L; Aihara K
    Proteins; 2008 Jul; 72(1):461-73. PubMed ID: 18214951
    [TBL] [Abstract][Full Text] [Related]  

  • 18. White box radial basis function classifiers with component selection for clinical prediction models.
    Van Belle V; Lisboa P
    Artif Intell Med; 2014 Jan; 60(1):53-64. PubMed ID: 24262978
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure.
    Lewis DP; Jebara T; Noble WS
    Bioinformatics; 2006 Nov; 22(22):2753-60. PubMed ID: 16966363
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Protein function prediction using multilabel ensemble classification.
    Yu G; Rangwala H; Domeniconi C; Zhang G; Yu Z
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(4):1045-57. PubMed ID: 24334396
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.