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Journal Abstract Search

181 related items for PubMed ID: 34991441

  • 21. ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks.
    Wang Y, Jeong H, Yoon BJ, Qian X.
    BMC Genomics; 2020 Nov 18; 21(Suppl 10):615. PubMed ID: 33208103
    [Abstract] [Full Text] [Related]

  • 22. A method for predicting protein complex in dynamic PPI networks.
    Zhang Y, Lin H, Yang Z, Wang J, Liu Y, Sang S.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):229. PubMed ID: 27454775
    [Abstract] [Full Text] [Related]

  • 23. Identification of protein complexes by integrating multiple alignment of protein interaction networks.
    Ma CY, Chen YP, Berger B, Liao CS.
    Bioinformatics; 2017 Jun 01; 33(11):1681-1688. PubMed ID: 28130237
    [Abstract] [Full Text] [Related]

  • 24. 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
    [Abstract] [Full Text] [Related]

  • 25. Identifying conserved protein complexes between species by constructing interolog networks.
    Nguyen PV, Srihari S, Leong HW.
    BMC Bioinformatics; 2013 Nov 01; 14 Suppl 16(Suppl 16):S8. PubMed ID: 24564762
    [Abstract] [Full Text] [Related]

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  • 27. 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
    [Abstract] [Full Text] [Related]

  • 28. Protein complexes identification based on go attributed network embedding.
    Xu B, Li K, Zheng W, Liu X, Zhang Y, Zhao Z, He Z.
    BMC Bioinformatics; 2018 Dec 20; 19(1):535. PubMed ID: 30572820
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  • 30. 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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  • 32. Identifying protein complexes based on density and modularity in protein-protein interaction network.
    Ren J, Wang J, Li M, Wang L.
    BMC Syst Biol; 2013 Sep 06; 7 Suppl 4(Suppl 4):S12. PubMed ID: 24565048
    [Abstract] [Full Text] [Related]

  • 33. AdaPPI: identification of novel protein functional modules via adaptive graph convolution networks in a protein-protein interaction network.
    Chen H, Cai Y, Ji C, Selvaraj G, Wei D, Wu H.
    Brief Bioinform; 2023 Jan 19; 24(1):. PubMed ID: 36526282
    [Abstract] [Full Text] [Related]

  • 34. PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation.
    Cao B, Luo J, Liang C, Wang S, Ding P.
    IEEE Trans Nanobioscience; 2016 Oct 19; 15(7):728-738. PubMed ID: 27662678
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  • 36. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 19; 12(3):165-72. PubMed ID: 23974659
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  • 38. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
    Cao B, Luo J, Liang C, Wang S, Song D.
    Comput Biol Chem; 2015 Oct 19; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 39. A methodology for detecting the orthology signal in a PPI network at a functional complex level.
    Jancura P, Mavridou E, Carrillo-de Santa Pau E, Marchiori E.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S18. PubMed ID: 22759423
    [Abstract] [Full Text] [Related]

  • 40. Detecting Protein Complexes Based on Uncertain Graph Model.
    Zhao B, Wang J, Li M, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Jun 25; 11(3):486-97. PubMed ID: 26356017
    [Abstract] [Full Text] [Related]

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