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Journal Abstract Search

154 related items for PubMed ID: 25405206

  • 1. A least square method based model for identifying protein complexes in protein-protein interaction network.
    Dai Q, Guo M, Guo Y, Liu X, Liu Y, Teng Z.
    Biomed Res Int; 2014; 2014():720960. PubMed ID: 25405206
    [Abstract] [Full Text] [Related]

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

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

  • 4. 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; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 5. 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 Oct; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. 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 27; 39(6):681-702. PubMed ID: 33040223
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. 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
    [Abstract] [Full Text] [Related]

  • 10. 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]

  • 11. 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 Jul 25; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 12. A survey of computational methods for protein complex prediction from protein interaction networks.
    Srihari S, Leong HW.
    J Bioinform Comput Biol; 2013 Apr 25; 11(2):1230002. PubMed ID: 23600810
    [Abstract] [Full Text] [Related]

  • 13. Utilizing both topological and attribute information for protein complex identification in PPI networks.
    Hu AL, Chan KC.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Apr 25; 10(3):780-92. PubMed ID: 24091410
    [Abstract] [Full Text] [Related]

  • 14. Methods for protein complex prediction and their contributions towards understanding the organisation, function and dynamics of complexes.
    Srihari S, Yong CH, Patil A, Wong L.
    FEBS Lett; 2015 Sep 14; 589(19 Pt A):2590-602. PubMed ID: 25913176
    [Abstract] [Full Text] [Related]

  • 15. Protein complex prediction in large ontology attributed protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Li Y, Xu B.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Sep 14; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 16. Integrating network topology, gene expression data and GO annotation information for protein complex prediction.
    Zhang W, Xu J, Li Y, Zou X.
    J Bioinform Comput Biol; 2019 Feb 14; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 17. 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 14; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 18. Protein complex prediction with RNSC.
    King AD, Pržulj N, Jurisica I.
    Methods Mol Biol; 2012 Mar 14; 804():297-312. PubMed ID: 22144160
    [Abstract] [Full Text] [Related]

  • 19. Predicting protein complexes from PPI data: a core-attachment approach.
    Leung HC, Xiang Q, Yiu SM, Chin FY.
    J Comput Biol; 2009 Feb 14; 16(2):133-44. PubMed ID: 19193141
    [Abstract] [Full Text] [Related]

  • 20. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Feb 14; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [Abstract] [Full Text] [Related]

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