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Journal Abstract Search

913 related items for PubMed ID: 25765008

  • 1. 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; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 2. 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; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 3. 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; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 4. 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 Jul; 10(3):729-41. PubMed ID: 24091405
    [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. Joint clustering of protein interaction networks through Markov random walk.
    Wang Y, Qian X.
    BMC Syst Biol; 2014 Mar 30; 8 Suppl 1(Suppl 1):S9. PubMed ID: 24565376
    [Abstract] [Full Text] [Related]

  • 7. 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 30; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 8. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Oct 30; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. 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]

  • 11. 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]

  • 12. 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]

  • 13. Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.
    Mukhopadhyay A, Ray S, De M.
    Mol Biosyst; 2012 Nov 01; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

  • 14. An effective approach to detecting both small and large complexes from protein-protein interaction networks.
    Xu B, Wang Y, Wang Z, Zhou J, Zhou S, Guan J.
    BMC Bioinformatics; 2017 Oct 16; 18(Suppl 12):419. PubMed ID: 29072136
    [Abstract] [Full Text] [Related]

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

  • 16. 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 Oct 16; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

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

  • 18. Detection of overlapping protein complexes in gene expression, phenotype and pathways of Saccharomyces cerevisiae using Prorank based Fuzzy algorithm.
    Manikandan P, Ramyachitra D, Banupriya D.
    Gene; 2016 Apr 15; 580(2):144-158. PubMed ID: 26809099
    [Abstract] [Full Text] [Related]

  • 19. Exploiting multi-layered information to iteratively predict protein functions.
    Zhu W, Hou J, Chen YP.
    Math Biosci; 2012 Apr 15; 236(2):108-16. PubMed ID: 22391459
    [Abstract] [Full Text] [Related]

  • 20. Survey: Enhancing protein complex prediction in PPI networks with GO similarity weighting.
    Price T, Peña FI, Cho YR.
    Interdiscip Sci; 2013 Sep 15; 5(3):196-210. PubMed ID: 24307411
    [Abstract] [Full Text] [Related]

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