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Journal Abstract Search

290 related items for PubMed ID: 24654850

  • 1. Identifying protein complexes by reducing noise in interaction networks.
    Liao B, Fu X, Cai L, Chen H.
    Protein Pept Lett; 2014 Jul; 21(7):688-95. PubMed ID: 24654850
    [Abstract] [Full Text] [Related]

  • 2. MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.
    Srihari S, Ning K, Leong HW.
    BMC Bioinformatics; 2010 Oct 12; 11():504. PubMed ID: 20939868
    [Abstract] [Full Text] [Related]

  • 3. Noise reduction in protein-protein interaction graphs by the implementation of a novel weighting scheme.
    Kritikos GD, Moschopoulos C, Vazirgiannis M, Kossida S.
    BMC Bioinformatics; 2011 Jun 16; 12():239. PubMed ID: 21679454
    [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 16; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 5. Markov clustering versus affinity propagation for the partitioning of protein interaction graphs.
    Vlasblom J, Wodak SJ.
    BMC Bioinformatics; 2009 Mar 30; 10():99. PubMed ID: 19331680
    [Abstract] [Full Text] [Related]

  • 6. Evaluation of clustering algorithms for protein-protein interaction networks.
    Brohée S, van Helden J.
    BMC Bioinformatics; 2006 Nov 06; 7():488. PubMed ID: 17087821
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. 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 May 27; 4(3):290-306. PubMed ID: 21778561
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. 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 Dec 01; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Aug 01; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.
    Peng W, Wang J, Zhao B, Wang L.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Nov 01; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

  • 15. 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
    [Abstract] [Full Text] [Related]

  • 16. Evolutionary Graph Clustering for Protein Complex Identification.
    He T, Chan KCC.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Dec 08; 15(3):892-904. PubMed ID: 28029628
    [Abstract] [Full Text] [Related]

  • 17. Detection of protein complexes from multiple protein interaction networks using graph embedding.
    Liu X, Yang Z, Sang S, Lin H, Wang J, Xu B.
    Artif Intell Med; 2019 May 08; 96():107-115. PubMed ID: 31164203
    [Abstract] [Full Text] [Related]

  • 18. 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 08; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 19. 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 08; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 20. Protein complexes discovery based on protein-protein interaction data via a regularized sparse generative network model.
    Zhang XF, Dai DQ, Li XX.
    IEEE/ACM Trans Comput Biol Bioinform; 2012 Oct 08; 9(3):857-70. PubMed ID: 22291160
    [Abstract] [Full Text] [Related]

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