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Journal Abstract Search

283 related items for PubMed ID: 26231465

  • 21. Complex Prediction in Large PPI Networks Using Expansion and Stripe of Core Cliques.
    Sahoo TR, Vipsita S, Patra S.
    Interdiscip Sci; 2023 Sep; 15(3):331-348. PubMed ID: 36306022
    [Abstract] [Full Text] [Related]

  • 22. 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]

  • 23. 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]

  • 24. Complex discovery from weighted PPI networks.
    Liu G, Wong L, Chua HN.
    Bioinformatics; 2009 Aug 01; 25(15):1891-7. PubMed ID: 19435747
    [Abstract] [Full Text] [Related]

  • 25. Protein complex detection in PPI networks based on data integration and supervised learning method.
    Yu F, Yang Z, Hu X, Sun Y, Lin H, Wang J.
    BMC Bioinformatics; 2015 Aug 01; 16 Suppl 12(Suppl 12):S3. PubMed ID: 26329886
    [Abstract] [Full Text] [Related]

  • 26. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
    Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S.
    Artif Intell Med; 2015 Mar 01; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 27. Protein complex prediction in interaction network based on network motif.
    Patra S, Mohapatra A.
    Comput Biol Chem; 2020 Dec 01; 89():107399. PubMed ID: 33152665
    [Abstract] [Full Text] [Related]

  • 28. Protein complex prediction for large protein protein interaction networks with the Core&Peel method.
    Pellegrini M, Baglioni M, Geraci F.
    BMC Bioinformatics; 2016 Nov 08; 17(Suppl 12):372. PubMed ID: 28185552
    [Abstract] [Full Text] [Related]

  • 29. 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]

  • 30. 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]

  • 31. Construction of dynamic probabilistic protein interaction networks for protein complex identification.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Bioinformatics; 2016 Apr 27; 17(1):186. PubMed ID: 27117946
    [Abstract] [Full Text] [Related]

  • 32. 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 27; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

  • 33. 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]

  • 34. Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network.
    Shen X, Yi L, Jiang X, He T, Yang J, Xie W, Hu P, Hu X.
    PLoS One; 2017 Nov 18; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 35. 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]

  • 36. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 01; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

  • 37. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J, Zheng Z, Yang M, Fung GPC, Huang C.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Sep 01; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 38. 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 Sep 01; 9 Suppl 1(Suppl 1):S9. PubMed ID: 25708164
    [Abstract] [Full Text] [Related]

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  • 40. Employing functional interactions for characterisation and detection of sparse complexes from yeast PPI networks.
    Srihari S, Leong HW.
    Int J Bioinform Res Appl; 2012 Sep 01; 8(3-4):286-304. PubMed ID: 22961456
    [Abstract] [Full Text] [Related]

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