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Journal Abstract Search

233 related items for PubMed ID: 23112070

  • 1. 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]

  • 2. De novo prediction of RNA-protein interactions from sequence information.
    Wang Y, Chen X, Liu ZP, Huang Q, Wang Y, Xu D, Zhang XS, Chen R, Chen L.
    Mol Biosyst; 2013 Jan 27; 9(1):133-42. PubMed ID: 23138266
    [Abstract] [Full Text] [Related]

  • 3. A mouse protein interactome through combined literature mining with multiple sources of interaction evidence.
    Li X, Cai H, Xu J, Ying S, Zhang Y.
    Amino Acids; 2010 Apr 27; 38(4):1237-52. PubMed ID: 19669079
    [Abstract] [Full Text] [Related]

  • 4. Assessing the limits of genomic data integration for predicting protein networks.
    Lu LJ, Xia Y, Paccanaro A, Yu H, Gerstein M.
    Genome Res; 2005 Jul 27; 15(7):945-53. PubMed ID: 15998909
    [Abstract] [Full Text] [Related]

  • 5. Protein classification based on text document classification techniques.
    Cheng BY, Carbonell JG, Klein-Seetharaman J.
    Proteins; 2005 Mar 01; 58(4):955-70. PubMed ID: 15645499
    [Abstract] [Full Text] [Related]

  • 6. Prediction of interactions between viral and host proteins using supervised machine learning methods.
    Barman RK, Saha S, Das S.
    PLoS One; 2014 Mar 01; 9(11):e112034. PubMed ID: 25375323
    [Abstract] [Full Text] [Related]

  • 7. Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions.
    Xing C, Dunson DB.
    PLoS Comput Biol; 2011 Jul 01; 7(7):e1002110. PubMed ID: 21829334
    [Abstract] [Full Text] [Related]

  • 8. Probabilistic prediction and ranking of human protein-protein interactions.
    Scott MS, Barton GJ.
    BMC Bioinformatics; 2007 Jul 05; 8():239. PubMed ID: 17615067
    [Abstract] [Full Text] [Related]

  • 9. A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays.
    Demichelis F, Magni P, Piergiorgi P, Rubin MA, Bellazzi R.
    BMC Bioinformatics; 2006 Nov 24; 7():514. PubMed ID: 17125514
    [Abstract] [Full Text] [Related]

  • 10. Amino-acid residue association models for large scale protein-protein interaction prediction.
    Rao R, Tun K, Lakshminarayanan S, Dhar PK.
    In Silico Biol; 2009 Nov 24; 9(4):179-94. PubMed ID: 20109148
    [Abstract] [Full Text] [Related]

  • 11. Continuous time Bayesian network classifiers.
    Stella F, Amer Y.
    J Biomed Inform; 2012 Dec 24; 45(6):1108-19. PubMed ID: 22846170
    [Abstract] [Full Text] [Related]

  • 12. Bayesian methods for predicting interacting protein pairs using domain information.
    Kim I, Liu Y, Zhao H.
    Biometrics; 2007 Sep 24; 63(3):824-33. PubMed ID: 17825014
    [Abstract] [Full Text] [Related]

  • 13. 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 24; 10(12):3147-54. PubMed ID: 25230581
    [Abstract] [Full Text] [Related]

  • 14. A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks.
    Browne F, Wang H, Zheng H, Azuaje F.
    Comput Biol Med; 2010 Mar 24; 40(3):306-17. PubMed ID: 20138613
    [Abstract] [Full Text] [Related]

  • 15. Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.
    Urquiza JM, Rojas I, Pomares H, Herrera J, Florido JP, Valenzuela O, Cepero M.
    Comput Biol Med; 2012 Jun 24; 42(6):639-50. PubMed ID: 22575173
    [Abstract] [Full Text] [Related]

  • 16. Understanding protein-protein interactions using local structural features.
    Planas-Iglesias J, Bonet J, García-García J, Marín-López MA, Feliu E, Oliva B.
    J Mol Biol; 2013 Apr 12; 425(7):1210-24. PubMed ID: 23353828
    [Abstract] [Full Text] [Related]

  • 17. Fuzzy Naive Bayesian for constructing regulated network with weights.
    Zhou XY, Tian XW, Lim JS.
    Biomed Mater Eng; 2015 Apr 12; 26 Suppl 1():S1757-62. PubMed ID: 26405944
    [Abstract] [Full Text] [Related]

  • 18. Probabilistic prediction of protein-protein interactions from the protein sequences.
    Chinnasamy A, Mittal A, Sung WK.
    Comput Biol Med; 2006 Oct 12; 36(10):1143-54. PubMed ID: 16253222
    [Abstract] [Full Text] [Related]

  • 19. A Naive Bayes classifier for protein function prediction.
    Kohonen J, Talikota S, Corander J, Auvinen P, Arjas E.
    In Silico Biol; 2009 Oct 12; 9(1-2):23-34. PubMed ID: 19537159
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  • 20. Selection of human embryos for transfer by Bayesian classifiers.
    Morales DA, Bengoetxea E, Larrañaga P.
    Comput Biol Med; 2008 Oct 12; 38(11-12):1177-86. PubMed ID: 18951123
    [Abstract] [Full Text] [Related]

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