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Journal Abstract Search

196 related items for PubMed ID: 21829334

  • 1. Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions.
    Xing C, Dunson DB.
    PLoS Comput Biol; 2011 Jul; 7(7):e1002110. PubMed ID: 21829334
    [Abstract] [Full Text] [Related]

  • 2. Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction.
    Lin X, Chen XW.
    Proteomics; 2013 Jan; 13(2):261-8. PubMed ID: 23112070
    [Abstract] [Full Text] [Related]

  • 3. Predicting protein-protein interactions between human and hepatitis C virus via an ensemble learning method.
    Emamjomeh A, Goliaei B, Zahiri J, Ebrahimpour R.
    Mol Biosyst; 2014 Dec; 10(12):3147-54. PubMed ID: 25230581
    [Abstract] [Full Text] [Related]

  • 4. Integrating diverse biological and computational sources for reliable protein-protein interactions.
    Wu M, Li X, Chua HN, Kwoh CK, Ng SK.
    BMC Bioinformatics; 2010 Oct 15; 11 Suppl 7(Suppl 7):S8. PubMed ID: 21106130
    [Abstract] [Full Text] [Related]

  • 5. Probabilistic prediction and ranking of human protein-protein interactions.
    Scott MS, Barton GJ.
    BMC Bioinformatics; 2007 Jul 05; 8():239. PubMed ID: 17615067
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  • 6. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
    Li ZW, You ZH, Chen X, Li LP, Huang DS, Yan GY, Nie R, Huang YA.
    Oncotarget; 2017 Apr 04; 8(14):23638-23649. PubMed ID: 28423569
    [Abstract] [Full Text] [Related]

  • 7. Bayesian inference of protein-protein interactions from biological literature.
    Chowdhary R, Zhang J, Liu JS.
    Bioinformatics; 2009 Jun 15; 25(12):1536-42. PubMed ID: 19369495
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  • 8. Bayesian methods for predicting interacting protein pairs using domain information.
    Kim I, Liu Y, Zhao H.
    Biometrics; 2007 Sep 15; 63(3):824-33. PubMed ID: 17825014
    [Abstract] [Full Text] [Related]

  • 9. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
    An JY, You ZH, Meng FR, Xu SJ, Wang Y.
    Int J Mol Sci; 2016 May 18; 17(5):. PubMed ID: 27213337
    [Abstract] [Full Text] [Related]

  • 10. A Two-Stage Geometric Method for Pruning Unreliable Links in Protein-Protein Networks.
    Zhu L, Deng SP, Huang DS.
    IEEE Trans Nanobioscience; 2015 Jul 18; 14(5):528-34. PubMed ID: 25861086
    [Abstract] [Full Text] [Related]

  • 11. 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 24; 5(2):e9293. PubMed ID: 20195360
    [Abstract] [Full Text] [Related]

  • 12. A survey on computational models for predicting protein-protein interactions.
    Hu L, Wang X, Huang YA, Hu P, You ZH.
    Brief Bioinform; 2021 Sep 02; 22(5):. PubMed ID: 33693513
    [Abstract] [Full Text] [Related]

  • 13. Structure-based prediction of protein-protein interactions on a genome-wide scale.
    Zhang QC, Petrey D, Deng L, Qiang L, Shi Y, Thu CA, Bisikirska B, Lefebvre C, Accili D, Hunter T, Maniatis T, Califano A, Honig B.
    Nature; 2012 Oct 25; 490(7421):556-60. PubMed ID: 23023127
    [Abstract] [Full Text] [Related]

  • 14. Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions.
    Wang L, You ZH, Yan X, Xia SX, Liu F, Li LP, Zhang W, Zhou Y.
    Sci Rep; 2018 Aug 27; 8(1):12874. PubMed ID: 30150728
    [Abstract] [Full Text] [Related]

  • 15. In Silico Protein-Protein Interactions: Avoiding Data and Method Biases Over Sensitivity and Specificity.
    Folador EL, de Oliveira Junior AF, Tiwari S, Jamal SB, Ferreira RS, Barh D, Ghosh P, Silva A, Azevedo V.
    Curr Protein Pept Sci; 2015 Aug 27; 16(8):689-700. PubMed ID: 25961403
    [Abstract] [Full Text] [Related]

  • 16. Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms.
    Lin X, Liu M, Chen XW.
    BMC Bioinformatics; 2009 Apr 29; 10 Suppl 4(Suppl 4):S5. PubMed ID: 19426453
    [Abstract] [Full Text] [Related]

  • 17. Large-scale protein-protein interactions detection by integrating big biosensing data with computational model.
    You ZH, Li S, Gao X, Luo X, Ji Z.
    Biomed Res Int; 2014 Apr 29; 2014():598129. PubMed ID: 25215285
    [Abstract] [Full Text] [Related]

  • 18. Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.
    Liu GH, Shen HB, Yu DJ.
    J Membr Biol; 2016 Apr 29; 249(1-2):141-53. PubMed ID: 26563228
    [Abstract] [Full Text] [Related]

  • 19. Increasing confidence of protein interactomes using network topological metrics.
    Chen J, Hsu W, Lee ML, Ng SK.
    Bioinformatics; 2006 Aug 15; 22(16):1998-2004. PubMed ID: 16787971
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  • 20. A NMF based approach for integrating multiple data sources to predict HIV-1-human PPIs.
    Ray S, Bandyopadhyay S.
    BMC Bioinformatics; 2016 Mar 08; 17():121. PubMed ID: 26956556
    [Abstract] [Full Text] [Related]

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