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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

234 related items for PubMed ID: 31390979

  • 61. PLW: Probabilistic Local Walks for detecting protein complexes from protein interaction networks.
    Wong D, Li XL, Wu M, Zheng J, Ng SK.
    BMC Genomics; 2013; 14 Suppl 5(Suppl 5):S15. PubMed ID: 24564427
    [Abstract] [Full Text] [Related]

  • 62. Bridging topological and functional information in protein interaction networks by short loops profiling.
    Chung SS, Pandini A, Annibale A, Coolen AC, Thomas NS, Fraternali F.
    Sci Rep; 2015 Feb 23; 5():8540. PubMed ID: 25703051
    [Abstract] [Full Text] [Related]

  • 63. Identification of protein complexes from multi-relationship protein interaction networks.
    Li X, Wang J, Zhao B, Wu FX, Pan Y.
    Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
    [Abstract] [Full Text] [Related]

  • 64. Identifying protein complexes from interactome based on essential proteins and local fitness method.
    Wang J, Chen G, Liu B, Li M, Pan Y.
    IEEE Trans Nanobioscience; 2012 Dec 25; 11(4):324-35. PubMed ID: 22711784
    [Abstract] [Full Text] [Related]

  • 65. ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks.
    Ji J, Liu H, Zhang A, Liu Z, Liu C.
    Int J Data Min Bioinform; 2015 Dec 25; 11(3):331-63. PubMed ID: 26333266
    [Abstract] [Full Text] [Related]

  • 66. Detecting protein complexes based on relevancy from protein interaction networks.
    Yao HX, Yang Y, Li XL.
    Interdiscip Sci; 2013 Sep 25; 5(3):167-74. PubMed ID: 24307408
    [Abstract] [Full Text] [Related]

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  • 68. Identification of human protein complexes from local sub-graphs of protein-protein interaction network based on random forest with topological structure features.
    Li ZC, Lai YH, Chen LL, Zhou X, Dai Z, Zou XY.
    Anal Chim Acta; 2012 Mar 09; 718():32-41. PubMed ID: 22305895
    [Abstract] [Full Text] [Related]

  • 69. Protein complex prediction based on simultaneous protein interaction network.
    Jung SH, Hyun B, Jang WH, Hur HY, Han DS.
    Bioinformatics; 2010 Feb 01; 26(3):385-91. PubMed ID: 19965885
    [Abstract] [Full Text] [Related]

  • 70. 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
    [Abstract] [Full Text] [Related]

  • 71. Computational algorithms to predict Gene Ontology annotations.
    Pinoli P, Chicco D, Masseroli M.
    BMC Bioinformatics; 2015 Sep 06; 16 Suppl 6(Suppl 6):S4. PubMed ID: 25916950
    [Abstract] [Full Text] [Related]

  • 72. Determining modular organization of protein interaction networks by maximizing modularity density.
    Zhang S, Ning XM, Ding C, Zhang XS.
    BMC Syst Biol; 2010 Sep 13; 4 Suppl 2(Suppl 2):S10. PubMed ID: 20840724
    [Abstract] [Full Text] [Related]

  • 73. Functional diversity of topological modules in human protein-protein interaction networks.
    Liu G, Wang H, Chu H, Yu J, Zhou X.
    Sci Rep; 2017 Nov 23; 7(1):16199. PubMed ID: 29170401
    [Abstract] [Full Text] [Related]

  • 74. Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks.
    Peng W, Li M, Chen L, Wang L.
    IEEE/ACM Trans Comput Biol Bioinform; 2017 Nov 23; 14(2):360-369. PubMed ID: 28368814
    [Abstract] [Full Text] [Related]

  • 75. Evaluation of clustering algorithms for protein-protein interaction networks.
    Brohée S, van Helden J.
    BMC Bioinformatics; 2006 Nov 06; 7():488. PubMed ID: 17087821
    [Abstract] [Full Text] [Related]

  • 76. P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO Annotations.
    Young-Rae Cho, Yanan Xin, Speegle G.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Nov 06; 12(2):309-21. PubMed ID: 26357219
    [Abstract] [Full Text] [Related]

  • 77. Small protein complex prediction algorithm based on protein-protein interaction network segmentation.
    Lyu J, Yao Z, Liang B, Liu Y, Zhang Y.
    BMC Bioinformatics; 2022 Sep 30; 23(1):405. PubMed ID: 36180820
    [Abstract] [Full Text] [Related]

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  • 79. An in silico method for detecting overlapping functional modules from composite biological networks.
    Maraziotis IA, Dimitrakopoulou K, Bezerianos A.
    BMC Syst Biol; 2008 Nov 01; 2():93. PubMed ID: 18976494
    [Abstract] [Full Text] [Related]

  • 80. 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 Nov 01; 2014():354539. PubMed ID: 24818139
    [Abstract] [Full Text] [Related]

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