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Journal Abstract Search

90 related items for PubMed ID: 19209703

  • 1. Efficient and robust prediction algorithms for protein complexes using Gomory-Hu trees.
    Mitrofanova A, Farach-Colton M, Mishra B.
    Pac Symp Biocomput; 2009; ():215-26. PubMed ID: 19209703
    [Abstract] [Full Text] [Related]

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

  • 3. 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]

  • 4. Identifying dynamic network modules with temporal and spatial constraints.
    Jin R, McCallen S, Liu CC, Xiang Y, Almaas E, Zhou XJ.
    Pac Symp Biocomput; 2009 Oct 12; ():203-14. PubMed ID: 19209702
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Learning the structure of protein-protein interaction networks.
    Kuchaiev O, Przulj N.
    Pac Symp Biocomput; 2009 Nov 06; ():39-50. PubMed ID: 19209694
    [Abstract] [Full Text] [Related]

  • 7. Efficient algorithms for detecting signaling pathways in protein interaction networks.
    Scott J, Ideker T, Karp RM, Sharan R.
    J Comput Biol; 2006 Mar 06; 13(2):133-44. PubMed ID: 16597231
    [Abstract] [Full Text] [Related]

  • 8. A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity.
    Lei C, Ruan J.
    Bioinformatics; 2013 Feb 01; 29(3):355-64. PubMed ID: 23235927
    [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 01; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 10. Detecting Protein Complexes Based on Uncertain Graph Model.
    Zhao B, Wang J, Li M, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Feb 01; 11(3):486-97. PubMed ID: 26356017
    [Abstract] [Full Text] [Related]

  • 11. 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 01; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 12. From the static interactome to dynamic protein complexes: Three challenges.
    Yong CH, Wong L.
    J Bioinform Comput Biol; 2015 Apr 01; 13(2):1571001. PubMed ID: 25653145
    [Abstract] [Full Text] [Related]

  • 13. Global alignment of multiple protein interaction networks.
    Singh R, Xu J, Berger B.
    Pac Symp Biocomput; 2008 Apr 01; ():303-14. PubMed ID: 18229695
    [Abstract] [Full Text] [Related]

  • 14. Identification of functional modules in a PPI network by bounded diameter clustering.
    Sohaee N, Forst CV.
    J Bioinform Comput Biol; 2010 Dec 01; 8(6):929-43. PubMed ID: 21121019
    [Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. A hybrid clustering algorithm for identifying modules in Protein-Protein Interaction networks.
    Yu L, Gao L, Sun PG.
    Int J Data Min Bioinform; 2010 Oct 16; 4(5):600-15. PubMed ID: 21133044
    [Abstract] [Full Text] [Related]

  • 17. Identification of conserved protein complexes by module alignment.
    Sun PG, Gao L, Song J.
    Int J Data Min Bioinform; 2011 Oct 16; 5(6):593-610. PubMed ID: 22295746
    [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 16; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 19. Dense graphlet statistics of protein interaction and random networks.
    Colak R, Hormozdiari F, Moser F, Schönhuth A, Holman J, Ester M, Sahinalp SC.
    Pac Symp Biocomput; 2009 Jul 16; ():178-89. PubMed ID: 19213135
    [Abstract] [Full Text] [Related]

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

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