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Journal Abstract Search

200 related items for PubMed ID: 23688127

  • 1. Protein complex detection using interaction reliability assessment and weighted clustering coefficient.
    Zaki N, Efimov D, Berengueres J.
    BMC Bioinformatics; 2013 May 20; 14():163. PubMed ID: 23688127
    [Abstract] [Full Text] [Related]

  • 2. Detecting protein complexes in protein interaction networks using a ranking algorithm with a refined merging procedure.
    Hanna EM, Zaki N.
    BMC Bioinformatics; 2014 Jun 19; 15():204. PubMed ID: 24944073
    [Abstract] [Full Text] [Related]

  • 3. 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 19; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 4. Interaction graph mining for protein complexes using local clique merging.
    Li XL, Tan SH, Foo CS, Ng SK.
    Genome Inform; 2005 Mar 19; 16(2):260-9. PubMed ID: 16901108
    [Abstract] [Full Text] [Related]

  • 5. GIBA: a clustering tool for detecting protein complexes.
    Moschopoulos CN, Pavlopoulos GA, Schneider R, Likothanassis SD, Kossida S.
    BMC Bioinformatics; 2009 Jun 16; 10 Suppl 6(Suppl 6):S11. PubMed ID: 19534736
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. 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]

  • 8. Identifying protein complexes by reducing noise in interaction networks.
    Liao B, Fu X, Cai L, Chen H.
    Protein Pept Lett; 2014 Jul 15; 21(7):688-95. PubMed ID: 24654850
    [Abstract] [Full Text] [Related]

  • 9. 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 15; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 10. 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 15; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 11. CAMWI: Detecting protein complexes using weighted clustering coefficient and weighted density.
    Lakizadeh A, Jalili S, Marashi SA.
    Comput Biol Chem; 2015 Oct 15; 58():231-40. PubMed ID: 26319550
    [Abstract] [Full Text] [Related]

  • 12. 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]

  • 13. A novel algorithm for detecting protein complexes with the breadth first search.
    Tang X, Wang J, Li M, He Y, Pan Y.
    Biomed Res Int; 2014 Oct 16; 2014():354539. PubMed ID: 24818139
    [Abstract] [Full Text] [Related]

  • 14. 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 Oct 16; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. Protein complexes predictions within protein interaction networks using genetic algorithms.
    Ramadan E, Naef A, Ahmed M.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):269. PubMed ID: 27454228
    [Abstract] [Full Text] [Related]

  • 17. Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization.
    Ou-Yang L, Dai DQ, Zhang XF.
    PLoS One; 2013 Jul 25; 8(5):e62158. PubMed ID: 23658709
    [Abstract] [Full Text] [Related]

  • 18. A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.
    Mehranfar A, Ghadiri N, Kouhsar M, Golshani A.
    Comput Biol Med; 2017 Sep 01; 88():18-31. PubMed ID: 28672176
    [Abstract] [Full Text] [Related]

  • 19. 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]

  • 20. A seed-extended algorithm for detecting protein complexes based on density and modularity with topological structure and GO annotations.
    Wang R, Wang C, Sun L, Liu G.
    BMC Genomics; 2019 Aug 07; 20(1):637. PubMed ID: 31390979
    [Abstract] [Full Text] [Related]

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