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Journal Abstract Search

283 related items for PubMed ID: 29668304

  • 21. An uncertain model-based approach for identifying dynamic protein complexes in uncertain protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Liu Y.
    BMC Genomics; 2017 Oct 16; 18(Suppl 7):743. PubMed ID: 29513194
    [Abstract] [Full Text] [Related]

  • 22. Improving protein function prediction using domain and protein complexes in PPI networks.
    Peng W, Wang J, Cai J, Chen L, Li M, Wu FX.
    BMC Syst Biol; 2014 Mar 24; 8():35. PubMed ID: 24655481
    [Abstract] [Full Text] [Related]

  • 23. 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 24; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 24. DPCT: A Dynamic Method for Detecting Protein Complexes From TAP-Aware Weighted PPI Network.
    SabziNezhad A, Jalili S.
    Front Genet; 2020 Mar 24; 11():567. PubMed ID: 32676097
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  • 25. A supervised protein complex prediction method with network representation learning and gene ontology knowledge.
    Wang X, Zhang Y, Zhou P, Liu X.
    BMC Bioinformatics; 2022 Jul 25; 23(1):300. PubMed ID: 35879648
    [Abstract] [Full Text] [Related]

  • 26. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data.
    Li M, Wu X, Wang J, Pan Y.
    BMC Bioinformatics; 2012 May 23; 13():109. PubMed ID: 22621308
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  • 27. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 23; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

  • 28. Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods.
    Dimitrakopoulos C, Theofilatos K, Pegkas A, Likothanassis S, Mavroudi S.
    Artif Intell Med; 2016 Jul 23; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 29. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.
    Shi X, Wang X, Shajahan A, Hilakivi-Clarke L, Clarke R, Xuan J.
    BMC Genomics; 2015 Jul 23; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273
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  • 30. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
    Yong CH, Wong L.
    Biol Direct; 2015 Aug 01; 10():40. PubMed ID: 26231465
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  • 31. Identification of Protein Complexes Based on Core-Attachment Structure and Combination of Centrality Measures and Biological Properties in PPI Weighted Networks.
    Elahi A, Babamir SM.
    Protein J; 2020 Dec 01; 39(6):681-702. PubMed ID: 33040223
    [Abstract] [Full Text] [Related]

  • 32. Construction and application of dynamic protein interaction network based on time course gene expression data.
    Wang J, Peng X, Li M, Pan Y.
    Proteomics; 2013 Jan 01; 13(2):301-12. PubMed ID: 23225755
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  • 33. CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations.
    Xu Y, Zhou J, Zhou S, Guan J.
    BMC Syst Biol; 2017 Dec 21; 11(Suppl 7):135. PubMed ID: 29322927
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  • 34. Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
    Wang R, Liu G, Wang C.
    BMC Bioinformatics; 2019 Sep 14; 20(1):471. PubMed ID: 31521132
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  • 35. SAlign-a structure aware method for global PPI network alignment.
    Ayub U, Haider I, Naveed H.
    BMC Bioinformatics; 2020 Nov 04; 21(1):500. PubMed ID: 33148180
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  • 36. A three-phase method for identifying functionally related protein groups in weighted PPI networks.
    Grbić M, Matić D, Kartelj A, Vračević S, Filipović V.
    Comput Biol Chem; 2020 Jun 04; 86():107246. PubMed ID: 32339914
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  • 37. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Jun 04; 11(4):616-27. PubMed ID: 26356332
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  • 38. A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.
    Mehranfar A, Ghadiri N, Kouhsar M, Golshani A.
    Comput Biol Med; 2017 Sep 01; 88():18-31. PubMed ID: 28672176
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  • 39. Protein complexes detection based on node local properties and gene expression in PPI weighted networks.
    Yu Y, Kong D.
    BMC Bioinformatics; 2022 Jan 06; 23(1):24. PubMed ID: 34991441
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  • 40. Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
    Wang R, Wang C, Ma H.
    BMC Bioinformatics; 2022 Oct 07; 23(1):414. PubMed ID: 36207692
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