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PUBMED FOR HANDHELDS

Journal Abstract Search


198 related items for PubMed ID: 23702559

  • 1. Identifying spurious interactions and predicting missing interactions in the protein-protein interaction networks via a generative network model.
    Zhu Y, Zhang XF, Dai DQ, Wu MY.
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(1):219-25. PubMed ID: 23702559
    [Abstract] [Full Text] [Related]

  • 2. Discovering reliable protein interactions from high-throughput experimental data using network topology.
    Chen J, Hsu W, Lee ML, Ng SK.
    Artif Intell Med; 2005; 35(1-2):37-47. PubMed ID: 16055319
    [Abstract] [Full Text] [Related]

  • 3. Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
    Zhu L, Deng SP, You ZH, Huang DS.
    IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(2):345-352. PubMed ID: 28368812
    [Abstract] [Full Text] [Related]

  • 4. k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks.
    Liu Q, Chen YP, Li J.
    J Theor Biol; 2014 Jan 07; 340():146-54. PubMed ID: 24056214
    [Abstract] [Full Text] [Related]

  • 5. The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction.
    Fang Y, Sun M, Dai G, Ramain K.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Jan 07; 13(1):76-85. PubMed ID: 26886733
    [Abstract] [Full Text] [Related]

  • 6. Network simulation reveals significant contribution of network motifs to the age-dependency of yeast protein-protein interaction networks.
    Liang C, Luo J, Song D.
    Mol Biosyst; 2014 Jul 29; 10(9):2277-88. PubMed ID: 24964354
    [Abstract] [Full Text] [Related]

  • 7. Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
    Wu Q, Wang Z, Li C, Ye Y, Li Y, Sun N.
    BMC Syst Biol; 2015 Jul 29; 9 Suppl 1(Suppl 1):S9. PubMed ID: 25708164
    [Abstract] [Full Text] [Related]

  • 8. Fitting a geometric graph to a protein-protein interaction network.
    Higham DJ, Rasajski M, Przulj N.
    Bioinformatics; 2008 Apr 15; 24(8):1093-9. PubMed ID: 18344248
    [Abstract] [Full Text] [Related]

  • 9. Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.
    Mukhopadhyay A, Ray S, De M.
    Mol Biosyst; 2012 Nov 15; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

  • 10. Network legos: building blocks of cellular wiring diagrams.
    Murali TM, Rivera CG.
    J Comput Biol; 2008 Sep 15; 15(7):829-44. PubMed ID: 18707557
    [Abstract] [Full Text] [Related]

  • 11. Discerning molecular interactions: A comprehensive review on biomolecular interaction databases and network analysis tools.
    Miryala SK, Anbarasu A, Ramaiah S.
    Gene; 2018 Feb 05; 642():84-94. PubMed ID: 29129810
    [Abstract] [Full Text] [Related]

  • 12. Graph kernels for disease outcome prediction from protein-protein interaction networks.
    Borgwardt KM, Kriegel HP, Vishwanathan SV, Schraudolph NN.
    Pac Symp Biocomput; 2007 Feb 05; ():4-15. PubMed ID: 17992741
    [Abstract] [Full Text] [Related]

  • 13. Influence of protein abundance on high-throughput protein-protein interaction detection.
    Ivanic J, Yu X, Wallqvist A, Reifman J.
    PLoS One; 2009 Jun 05; 4(6):e5815. PubMed ID: 19503833
    [Abstract] [Full Text] [Related]

  • 14. A lock-and-key model for protein-protein interactions.
    Morrison JL, Breitling R, Higham DJ, Gilbert DR.
    Bioinformatics; 2006 Aug 15; 22(16):2012-9. PubMed ID: 16787977
    [Abstract] [Full Text] [Related]

  • 15. Systematic computational prediction of protein interaction networks.
    Lees JG, Heriche JK, Morilla I, Ranea JA, Orengo CA.
    Phys Biol; 2011 Jun 15; 8(3):035008. PubMed ID: 21572181
    [Abstract] [Full Text] [Related]

  • 16. RedNemo: topology-based PPI network reconstruction via repeated diffusion with neighborhood modifications.
    Alkan F, Erten C.
    Bioinformatics; 2017 Feb 15; 33(4):537-544. PubMed ID: 27797764
    [Abstract] [Full Text] [Related]

  • 17. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Feb 15; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 18. Geometric de-noising of protein-protein interaction networks.
    Kuchaiev O, Rasajski M, Higham DJ, Przulj N.
    PLoS Comput Biol; 2009 Aug 15; 5(8):e1000454. PubMed ID: 19662157
    [Abstract] [Full Text] [Related]

  • 19. Assessing and predicting protein interactions using both local and global network topological metrics.
    Liu G, Li J, Wong L.
    Genome Inform; 2008 Aug 15; 21():138-49. PubMed ID: 19425154
    [Abstract] [Full Text] [Related]

  • 20. Protein complexes discovery based on protein-protein interaction data via a regularized sparse generative network model.
    Zhang XF, Dai DQ, Li XX.
    IEEE/ACM Trans Comput Biol Bioinform; 2012 Aug 15; 9(3):857-70. PubMed ID: 22291160
    [Abstract] [Full Text] [Related]


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