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Journal Abstract Search

401 related items for PubMed ID: 24565376

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

  • 2. 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]

  • 3. 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]

  • 4. From communities to protein complexes: A local community detection algorithm on PPI networks.
    Dilmaghani S, Brust MR, Ribeiro CHC, Kieffer E, Danoy G, Bouvry P.
    PLoS One; 2022 Dec 01; 17(1):e0260484. PubMed ID: 35085263
    [Abstract] [Full Text] [Related]

  • 5. A novel subgradient-based optimization algorithm for blockmodel functional module identification.
    Wang Y, Qian X.
    BMC Bioinformatics; 2013 Dec 01; 14 Suppl 2(Suppl 2):S23. PubMed ID: 23368964
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  • 7. C-element: a new clustering algorithm to find high quality functional modules in PPI networks.
    Ghasemi M, Rahgozar M, Bidkhori G, Masoudi-Nejad A.
    PLoS One; 2013 Dec 01; 8(9):e72366. PubMed ID: 24039752
    [Abstract] [Full Text] [Related]

  • 8. 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
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  • 11. Diffusion model based spectral clustering for protein-protein interaction networks.
    Inoue K, Li W, Kurata H.
    PLoS One; 2010 Sep 07; 5(9):e12623. PubMed ID: 20830307
    [Abstract] [Full Text] [Related]

  • 12. ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks.
    Wang Y, Jeong H, Yoon BJ, Qian X.
    BMC Genomics; 2020 Nov 18; 21(Suppl 10):615. PubMed ID: 33208103
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  • 14. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
    Khunlertgit N, Yoon BJ.
    BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):351. PubMed ID: 27766944
    [Abstract] [Full Text] [Related]

  • 15. DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding.
    Meng X, Xiang J, Zheng R, Wu FX, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Oct 06; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 16. Detection of functional modules from protein interaction networks with an enhanced random walk based algorithm.
    Cai B, Wang H, Zheng H, Wang H.
    Int J Comput Biol Drug Des; 2011 Oct 06; 4(3):290-306. PubMed ID: 21778561
    [Abstract] [Full Text] [Related]

  • 17. Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model.
    Jeong H, Qian X, Yoon BJ.
    BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):395. PubMed ID: 27766938
    [Abstract] [Full Text] [Related]

  • 18. Evolutionary Graph Clustering for Protein Complex Identification.
    He T, Chan KCC.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Oct 06; 15(3):892-904. PubMed ID: 28029628
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  • 20. 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]

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