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Journal Abstract Search

131 related items for PubMed ID: 25653145

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  • 4. Evaluation of clustering algorithms for protein-protein interaction networks.
    Brohée S, van Helden J.
    BMC Bioinformatics; 2006 Nov 06; 7():488. PubMed ID: 17087821
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  • 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 06; 63(3):181-9. PubMed ID: 25765008
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  • 6. 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 06; 15(2):177-94. PubMed ID: 23780996
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  • 7. Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network.
    Shen X, Yi L, Jiang X, He T, Yang J, Xie W, Hu P, Hu X.
    PLoS One; 2017 Mar 06; 12(10):e0186134. PubMed ID: 29045465
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  • 8. 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
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  • 9. Protein complex prediction with RNSC.
    King AD, Pržulj N, Jurisica I.
    Methods Mol Biol; 2012 Oct 12; 804():297-312. PubMed ID: 22144160
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  • 10. 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
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  • 11. Construction of dynamic probabilistic protein interaction networks for protein complex identification.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Bioinformatics; 2016 Apr 27; 17(1):186. PubMed ID: 27117946
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  • 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 27; 71():62-9. PubMed ID: 27506132
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  • 13. 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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  • 14. A survey of computational methods for protein complex prediction from protein interaction networks.
    Srihari S, Leong HW.
    J Bioinform Comput Biol; 2013 Apr 06; 11(2):1230002. PubMed ID: 23600810
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  • 15. A method for predicting protein complex in dynamic PPI networks.
    Zhang Y, Lin H, Yang Z, Wang J, Liu Y, Sang S.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):229. PubMed ID: 27454775
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  • 16. Identifying hierarchical and overlapping protein complexes based on essential protein-protein interactions and "seed-expanding" method.
    Ren J, Zhou W, Wang J.
    Biomed Res Int; 2014 Jul 25; 2014():838714. PubMed ID: 25143945
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  • 17. Identification of protein complexes by integrating multiple alignment of protein interaction networks.
    Ma CY, Chen YP, Berger B, Liao CS.
    Bioinformatics; 2017 Jun 01; 33(11):1681-1688. PubMed ID: 28130237
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  • 18. 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
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  • 19. Neighbor affinity based algorithm for discovering temporal protein complex from dynamic PPI network.
    Shen X, Yi L, Jiang X, Zhao Y, Hu X, He T, Yang J.
    Methods; 2016 Nov 01; 110():90-96. PubMed ID: 27320204
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  • 20. Evolutionary Graph Clustering for Protein Complex Identification.
    He T, Chan KCC.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Nov 01; 15(3):892-904. PubMed ID: 28029628
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