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Journal Abstract Search

453 related items for PubMed ID: 28049415

  • 1. Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.
    Taghipour S, Zarrineh P, Ganjtabesh M, Nowzari-Dalini A.
    BMC Bioinformatics; 2017 Jan 03; 18(1):10. PubMed ID: 28049415
    [Abstract] [Full Text] [Related]

  • 2. Identification of protein complexes and functional modules in E. coli PPI networks.
    Kong P, Huang G, Liu W.
    BMC Microbiol; 2020 Aug 06; 20(1):243. PubMed ID: 32762711
    [Abstract] [Full Text] [Related]

  • 3. 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 06; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 4. 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 06; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks.
    Ji J, Lv J, Yang C, Zhang A.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 May 23; 13(4):610-22. PubMed ID: 26394434
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Jul 25; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [Abstract] [Full Text] [Related]

  • 9. Reconstructing genome-wide protein-protein interaction networks using multiple strategies with homologous mapping.
    Lo YS, Huang SH, Luo YC, Lin CY, Yang JM.
    PLoS One; 2015 Jul 25; 10(1):e0116347. PubMed ID: 25602759
    [Abstract] [Full Text] [Related]

  • 10. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
    Ou-Yang L, Yan H, Zhang XF.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066
    [Abstract] [Full Text] [Related]

  • 11. PROPER: global protein interaction network alignment through percolation matching.
    Kazemi E, Hassani H, Grossglauser M, Pezeshgi Modarres H.
    BMC Bioinformatics; 2016 Dec 12; 17(1):527. PubMed ID: 27955623
    [Abstract] [Full Text] [Related]

  • 12. Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks.
    Chen B, Fan W, Liu J, Wu FX.
    Brief Bioinform; 2014 Mar 12; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 13. 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 12; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 14. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
    Khunlertgit N, Yoon BJ.
    BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):351. PubMed ID: 27766944
    [Abstract] [Full Text] [Related]

  • 15. Constructing a robust protein-protein interaction network by integrating multiple public databases.
    Martha VS, Liu Z, Guo L, Su Z, Ye Y, Fang H, Ding D, Tong W, Xu X.
    BMC Bioinformatics; 2011 Oct 18; 12 Suppl 10(Suppl 10):S7. PubMed ID: 22165958
    [Abstract] [Full Text] [Related]

  • 16. Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization.
    Ou-Yang L, Dai DQ, Zhang XF.
    PLoS One; 2013 Oct 18; 8(5):e62158. PubMed ID: 23658709
    [Abstract] [Full Text] [Related]

  • 17. A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profiles.
    Chin CH, Chen SH, Ho CW, Ko MT, Lin CY.
    BMC Bioinformatics; 2010 Jan 18; 11 Suppl 1(Suppl 1):S25. PubMed ID: 20122197
    [Abstract] [Full Text] [Related]

  • 18. Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model.
    Jeong H, Qian X, Yoon BJ.
    BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):395. PubMed ID: 27766938
    [Abstract] [Full Text] [Related]

  • 19. Clustering algorithms for detecting functional modules in protein interaction networks.
    Gao L, Sun PG, Song J.
    J Bioinform Comput Biol; 2009 Feb 06; 7(1):217-42. PubMed ID: 19226668
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  • 20. A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity.
    Lei C, Ruan J.
    Bioinformatics; 2013 Feb 01; 29(3):355-64. PubMed ID: 23235927
    [Abstract] [Full Text] [Related]

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