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Journal Abstract Search

341 related items for PubMed ID: 30642247

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. Identification of Topological Network Modules in Perturbed Protein Interaction Networks.
    Sardiu ME, Gilmore JM, Groppe B, Florens L, Washburn MP.
    Sci Rep; 2017 Mar 08; 7():43845. PubMed ID: 28272416
    [Abstract] [Full Text] [Related]

  • 3. The relative vertex clustering value--a new criterion for the fast discovery of functional modules in protein interaction networks.
    Ibrahim ZM, Ngom A.
    BMC Bioinformatics; 2015 Mar 08; 16 Suppl 4(Suppl 4):S3. PubMed ID: 25734691
    [Abstract] [Full Text] [Related]

  • 4. A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
    Yu L, Gao L, Li K, Zhao Y, Chiu DK.
    Comput Biol Chem; 2011 Oct 12; 35(5):298-307. PubMed ID: 22000801
    [Abstract] [Full Text] [Related]

  • 5. A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks.
    Wang J, Li M, Chen J, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2011 Oct 12; 8(3):607-20. PubMed ID: 20733244
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  • 6. Combining functional and topological properties to identify core modules in protein interaction networks.
    Lubovac Z, Gamalielsson J, Olsson B.
    Proteins; 2006 Sep 01; 64(4):948-59. PubMed ID: 16794996
    [Abstract] [Full Text] [Related]

  • 7. A novel subgradient-based optimization algorithm for blockmodel functional module identification.
    Wang Y, Qian X.
    BMC Bioinformatics; 2013 Sep 01; 14 Suppl 2(Suppl 2):S23. PubMed ID: 23368964
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. How and when should interactome-derived clusters be used to predict functional modules and protein function?
    Song J, Singh M.
    Bioinformatics; 2009 Dec 01; 25(23):3143-50. PubMed ID: 19770263
    [Abstract] [Full Text] [Related]

  • 10. A New Method for Predicting Protein Functions From Dynamic Weighted Interactome Networks.
    Zhao B, Wang J, Li M, Li X, Li Y, Wu FX, Pan Y.
    IEEE Trans Nanobioscience; 2016 Mar 01; 15(2):131-9. PubMed ID: 26955047
    [Abstract] [Full Text] [Related]

  • 11. Identification of functional modules in a PPI network by clique percolation clustering.
    Zhang S, Ning X, Zhang XS.
    Comput Biol Chem; 2006 Dec 01; 30(6):445-51. PubMed ID: 17098476
    [Abstract] [Full Text] [Related]

  • 12. Detecting functional modules in the yeast protein-protein interaction network.
    Chen J, Yuan B.
    Bioinformatics; 2006 Sep 15; 22(18):2283-90. PubMed ID: 16837529
    [Abstract] [Full Text] [Related]

  • 13. 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 Sep 15; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 14. A protein network refinement method based on module discovery and biological information.
    Pan L, Wang H, Yang B, Li W.
    BMC Bioinformatics; 2024 Apr 20; 25(1):157. PubMed ID: 38643108
    [Abstract] [Full Text] [Related]

  • 15. 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 20; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 16. Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information.
    Li M, Li W, Wu FX, Pan Y, Wang J.
    J Theor Biol; 2018 Jun 14; 447():65-73. PubMed ID: 29571709
    [Abstract] [Full Text] [Related]

  • 17. Construction of Refined Protein Interaction Network for Predicting Essential Proteins.
    Li M, Ni P, Chen X, Wang J, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2019 Jun 14; 16(4):1386-1397. PubMed ID: 28186903
    [Abstract] [Full Text] [Related]

  • 18. Detection of functional modules from protein interaction networks with an enhanced random walk based algorithm.
    Cai B, Wang H, Zheng H, Wang H.
    Int J Comput Biol Drug Des; 2011 Jun 14; 4(3):290-306. PubMed ID: 21778561
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  • 19. Functional diversity of topological modules in human protein-protein interaction networks.
    Liu G, Wang H, Chu H, Yu J, Zhou X.
    Sci Rep; 2017 Nov 23; 7(1):16199. PubMed ID: 29170401
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  • 20. A Seed Expansion Graph Clustering Method for Protein Complexes Detection in Protein Interaction Networks.
    Wang J, Zheng W, Qian Y, Liang J.
    Molecules; 2017 Dec 08; 22(12):. PubMed ID: 29292776
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