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Journal Abstract Search

889 related items for PubMed ID: 17087821

  • 1. 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]

  • 2. 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]

  • 3. An automated method for finding molecular complexes in large protein interaction networks.
    Bader GD, Hogue CW.
    BMC Bioinformatics; 2003 Jan 13; 4():2. PubMed ID: 12525261
    [Abstract] [Full Text] [Related]

  • 4. 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]

  • 5. 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 12; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. Identification of functional modules in a PPI network by clique percolation clustering.
    Zhang S, Ning X, Zhang XS.
    Comput Biol Chem; 2006 Dec 16; 30(6):445-51. PubMed ID: 17098476
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. Revealing biological modules via graph summarization.
    Navlakha S, Schatz MC, Kingsford C.
    J Comput Biol; 2009 Feb 01; 16(2):253-64. PubMed ID: 19183002
    [Abstract] [Full Text] [Related]

  • 10. Protein complex prediction via cost-based clustering.
    King AD, Przulj N, Jurisica I.
    Bioinformatics; 2004 Nov 22; 20(17):3013-20. PubMed ID: 15180928
    [Abstract] [Full Text] [Related]

  • 11. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Nov 22; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 12. 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 22; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 13. From the static interactome to dynamic protein complexes: Three challenges.
    Yong CH, Wong L.
    J Bioinform Comput Biol; 2015 Apr 22; 13(2):1571001. PubMed ID: 25653145
    [Abstract] [Full Text] [Related]

  • 14. Protein complex prediction based on mutually exclusive interactions in protein interaction network.
    Jung SH, Jang WH, Hur HY, Hyun B, Han DS.
    Genome Inform; 2008 Apr 22; 21():77-88. PubMed ID: 19425149
    [Abstract] [Full Text] [Related]

  • 15. Identification of functional modules in a PPI network by bounded diameter clustering.
    Sohaee N, Forst CV.
    J Bioinform Comput Biol; 2010 Dec 22; 8(6):929-43. PubMed ID: 21121019
    [Abstract] [Full Text] [Related]

  • 16. Super paramagnetic clustering of protein sequences.
    Tetko IV, Facius A, Ruepp A, Mewes HW.
    BMC Bioinformatics; 2005 Apr 01; 6():82. PubMed ID: 15804359
    [Abstract] [Full Text] [Related]

  • 17. 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 Apr 01; 8(3):607-20. PubMed ID: 20733244
    [Abstract] [Full Text] [Related]

  • 18. Computational detection of protein complexes in AP-MS experiments.
    Choi H.
    Proteomics; 2012 May 01; 12(10):1663-8. PubMed ID: 22711593
    [Abstract] [Full Text] [Related]

  • 19. 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]

  • 20. Identifying protein complexes by reducing noise in interaction networks.
    Liao B, Fu X, Cai L, Chen H.
    Protein Pept Lett; 2014 Jul 12; 21(7):688-95. PubMed ID: 24654850
    [Abstract] [Full Text] [Related]

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