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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

223 related items for PubMed ID: 20958996

  • 41.
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  • 42. Detecting overlapping protein complexes in protein-protein interaction networks.
    Nepusz T, Yu H, Paccanaro A.
    Nat Methods; 2012 Mar 18; 9(5):471-2. PubMed ID: 22426491
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  • 46. Predicting protein function from protein/protein interaction data: a probabilistic approach.
    Letovsky S, Kasif S.
    Bioinformatics; 2003 Mar 18; 19 Suppl 1():i197-204. PubMed ID: 12855458
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  • 47.
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  • 48. Detecting functional modules in the yeast protein-protein interaction network.
    Chen J, Yuan B.
    Bioinformatics; 2006 Sep 15; 22(18):2283-90. PubMed ID: 16837529
    [Abstract] [Full Text] [Related]

  • 49. FACETS: multi-faceted functional decomposition of protein interaction networks.
    Seah BS, Bhowmick SS, Dewey CF.
    Bioinformatics; 2012 Oct 15; 28(20):2624-31. PubMed ID: 22908217
    [Abstract] [Full Text] [Related]

  • 50. Structure discovery in PPI networks using pattern-based network decomposition.
    Bachman P, Liu Y.
    Bioinformatics; 2009 Jul 15; 25(14):1814-21. PubMed ID: 19447784
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  • 52. Protein Complexes Prediction Method Based on Core-Attachment Structure and Functional Annotations.
    Li B, Liao B.
    Int J Mol Sci; 2017 Sep 06; 18(9):. PubMed ID: 28878201
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  • 54. Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
    Yu L, Gao L, Kong C.
    Proteomics; 2011 Oct 06; 11(19):3826-34. PubMed ID: 21761565
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  • 55.
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  • 56. A novel algorithm for detecting protein complexes with the breadth first search.
    Tang X, Wang J, Li M, He Y, Pan Y.
    Biomed Res Int; 2014 Oct 06; 2014():354539. PubMed ID: 24818139
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  • 58. Protein complex identification by supervised graph local clustering.
    Qi Y, Balem F, Faloutsos C, Klein-Seetharaman J, Bar-Joseph Z.
    Bioinformatics; 2008 Jul 01; 24(13):i250-8. PubMed ID: 18586722
    [Abstract] [Full Text] [Related]

  • 59. 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 01; 21 Suppl 1():i302-10. PubMed ID: 15961472
    [Abstract] [Full Text] [Related]

  • 60. Identifying complexes from protein interaction networks according to different types of neighborhood density.
    Fan JH, Chen J, Sze SH.
    J Comput Biol; 2012 Dec 01; 19(12):1284-94. PubMed ID: 23210476
    [Abstract] [Full Text] [Related]

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