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Journal Abstract Search

369 related items for PubMed ID: 28185552

  • 1. Protein complex prediction for large protein protein interaction networks with the Core&Peel method.
    Pellegrini M, Baglioni M, Geraci F.
    BMC Bioinformatics; 2016 Nov 08; 17(Suppl 12):372. PubMed ID: 28185552
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Dec 01; 12(9):e0183460. PubMed ID: 28937982
    [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 01; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Topological and functional comparison of community detection algorithms in biological networks.
    Rahiminejad S, Maurya MR, Subramaniam S.
    BMC Bioinformatics; 2019 Apr 27; 20(1):212. PubMed ID: 31029085
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. Protein Complexes Prediction Method Based on Core-Attachment Structure and Functional Annotations.
    Li B, Liao B.
    Int J Mol Sci; 2017 Sep 06; 18(9):. PubMed ID: 28878201
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  • 9. Predicting overlapping protein complexes based on core-attachment and a local modularity structure.
    Wang R, Liu G, Wang C, Su L, Sun L.
    BMC Bioinformatics; 2018 Aug 22; 19(1):305. PubMed ID: 30134824
    [Abstract] [Full Text] [Related]

  • 10. Efficient and accurate Greedy Search Methods for mining functional modules in protein interaction networks.
    He J, Li C, Ye B, Zhong W.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S19. PubMed ID: 22759424
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  • 11. A hybrid clustering algorithm for identifying modules in Protein-Protein Interaction networks.
    Yu L, Gao L, Sun PG.
    Int J Data Min Bioinform; 2010 Jun 25; 4(5):600-15. PubMed ID: 21133044
    [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 25; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 13. Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks.
    Sahoo TR, Patra S, Vipsita S.
    Comput Biol Chem; 2023 Oct 25; 106():107935. PubMed ID: 37536230
    [Abstract] [Full Text] [Related]

  • 14. Development and implementation of an algorithm for detection of protein complexes in large interaction networks.
    Altaf-Ul-Amin M, Shinbo Y, Mihara K, Kurokawa K, Kanaya S.
    BMC Bioinformatics; 2006 Apr 14; 7():207. PubMed ID: 16613608
    [Abstract] [Full Text] [Related]

  • 15. Joint clustering of protein interaction networks through Markov random walk.
    Wang Y, Qian X.
    BMC Syst Biol; 2014 Apr 14; 8 Suppl 1(Suppl 1):S9. PubMed ID: 24565376
    [Abstract] [Full Text] [Related]

  • 16. Discovery of small protein complexes from PPI networks with size-specific supervised weighting.
    Yong CH, Maruyama O, Wong L.
    BMC Syst Biol; 2014 Apr 14; 8 Suppl 5(Suppl 5):S3. PubMed ID: 25559663
    [Abstract] [Full Text] [Related]

  • 17. 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 Apr 14; 11(3):486-97. PubMed ID: 26356017
    [Abstract] [Full Text] [Related]

  • 18. Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining.
    Ma X, Zhou G, Shang J, Wang J, Peng J, Han J.
    J Comput Biol; 2017 Sep 14; 24(9):923-941. PubMed ID: 28570104
    [Abstract] [Full Text] [Related]

  • 19. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
    Yong CH, Wong L.
    Biol Direct; 2015 Aug 01; 10():40. PubMed ID: 26231465
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  • 20. 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]

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