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Journal Abstract Search

152 related items for PubMed ID: 29217484

  • 21. Detecting Protein Complexes from Signed Protein-Protein Interaction Networks.
    Ou-Yang L, Dai DQ, Zhang XF.
    IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(6):1333-44. PubMed ID: 26671805
    [Abstract] [Full Text] [Related]

  • 22. Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein⁻Protein Interaction Network.
    Cao B, Deng S, Qin H, Ding P, Chen S, Li G.
    Molecules; 2018 Jun 15; 23(6):. PubMed ID: 29914123
    [Abstract] [Full Text] [Related]

  • 23. A method based on local density and random walks for complexes detection in protein interaction networks.
    Yu L, Gao L, Li K.
    J Bioinform Comput Biol; 2010 Dec 15; 8 Suppl 1():47-62. PubMed ID: 21155019
    [Abstract] [Full Text] [Related]

  • 24. Computational detection of protein complexes in AP-MS experiments.
    Choi H.
    Proteomics; 2012 May 15; 12(10):1663-8. PubMed ID: 22711593
    [Abstract] [Full Text] [Related]

  • 25. 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
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  • 26. Discovering protein complexes in dense reliable neighborhoods of protein interaction networks.
    Li XL, Foo CS, Ng SK.
    Comput Syst Bioinformatics Conf; 2007 Nov 15; 6():157-68. PubMed ID: 17951821
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  • 27. Protein complex prediction based on maximum matching with domain-domain interaction.
    Ma W, McAnulla C, Wang L.
    Biochim Biophys Acta; 2012 Dec 15; 1824(12):1418-24. PubMed ID: 22771297
    [Abstract] [Full Text] [Related]

  • 28. Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.
    Lei X, Liang J.
    Molecules; 2017 Jul 24; 22(7):. PubMed ID: 28737728
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  • 29. 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 Jul 24; 14(2):345-352. PubMed ID: 28368812
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  • 30. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Jul 24; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
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  • 31. 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]

  • 32. Identifying protein complexes based on brainstorming strategy.
    Shen X, Zhou J, Yi L, Hu X, He T, Yang J.
    Methods; 2016 Nov 01; 110():44-53. PubMed ID: 27405005
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  • 33. Identifying protein complexes in protein-protein interaction networks by using clique seeds and graph entropy.
    Chen B, Shi J, Zhang S, Wu FX.
    Proteomics; 2013 Jan 01; 13(2):269-77. PubMed ID: 23112006
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  • 34. An effective method for refining predicted protein complexes based on protein activity and the mechanism of protein complex formation.
    Wang J, Peng X, Xiao Q, Li M, Pan Y.
    BMC Syst Biol; 2013 Mar 28; 7():28. PubMed ID: 23537347
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  • 35. Computational Analysis of the Chaperone Interaction Networks.
    Kumar A, Rizzolo K, Zilles S, Babu M, Houry WA.
    Methods Mol Biol; 2018 Mar 28; 1709():275-291. PubMed ID: 29177666
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  • 36. Computational approaches for detecting protein complexes from protein interaction networks: a survey.
    Li X, Wu M, Kwoh CK, Ng SK.
    BMC Genomics; 2010 Feb 10; 11 Suppl 1(Suppl 1):S3. PubMed ID: 20158874
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  • 37. Graemlin: general and robust alignment of multiple large interaction networks.
    Flannick J, Novak A, Srinivasan BS, McAdams HH, Batzoglou S.
    Genome Res; 2006 Sep 10; 16(9):1169-81. PubMed ID: 16899655
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  • 38. Exploiting locational and topological overlap model to identify modules in protein interaction networks.
    Cheng L, Liu P, Wang D, Leung KS.
    BMC Bioinformatics; 2019 Jan 14; 20(1):23. PubMed ID: 30642247
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  • 39. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.
    Luo J, Qi Y.
    PLoS One; 2015 Jan 14; 10(6):e0131418. PubMed ID: 26125187
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  • 40. A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
    Hu L, Chan KC.
    BMC Bioinformatics; 2015 May 27; 16():174. PubMed ID: 26013799
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