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PUBMED FOR HANDHELDS

Journal Abstract Search


213 related items for PubMed ID: 29045465

  • 1. 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; 12(10):e0186134. PubMed ID: 29045465
    [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 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
    [Abstract] [Full Text] [Related]

  • 4. Identifying dynamic protein complexes based on gene expression profiles and PPI networks.
    Li M, Chen W, Wang J, Wu FX, Pan Y.
    Biomed Res Int; 2014 Sep 06; 2014():375262. PubMed ID: 24963481
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks.
    Xiao Q, Luo P, Li M, Wang J, Wu FX.
    Proteomics; 2019 Mar 27; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 7. A core-attachment based method to detect protein complexes in PPI networks.
    Wu M, Li X, Kwoh CK, Ng SK.
    BMC Bioinformatics; 2009 Jun 02; 10():169. PubMed ID: 19486541
    [Abstract] [Full Text] [Related]

  • 8. A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks.
    Liu L, Sun X, Song W, Du C.
    J Comput Biol; 2018 Jun 02; 25(6):586-605. PubMed ID: 29668304
    [Abstract] [Full Text] [Related]

  • 9. Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
    Wang R, Liu G, Wang C.
    BMC Bioinformatics; 2019 Sep 14; 20(1):471. PubMed ID: 31521132
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 11. 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
    [Abstract] [Full Text] [Related]

  • 12. 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 25; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 13. Identifying essential proteins from active PPI networks constructed with dynamic gene expression.
    Xiao Q, Wang J, Peng X, Wu FX, Pan Y.
    BMC Genomics; 2015 Mar 25; 16 Suppl 3(Suppl 3):S1. PubMed ID: 25707432
    [Abstract] [Full Text] [Related]

  • 14. Protein complex detection in PPI networks based on data integration and supervised learning method.
    Yu F, Yang Z, Hu X, Sun Y, Lin H, Wang J.
    BMC Bioinformatics; 2015 Mar 25; 16 Suppl 12(Suppl 12):S3. PubMed ID: 26329886
    [Abstract] [Full Text] [Related]

  • 15. From the static interactome to dynamic protein complexes: Three challenges.
    Yong CH, Wong L.
    J Bioinform Comput Biol; 2015 Apr 25; 13(2):1571001. PubMed ID: 25653145
    [Abstract] [Full Text] [Related]

  • 16. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Apr 25; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 17. Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks.
    Liu X, Yang Z, Sang S, Zhou Z, Wang L, Zhang Y, Lin H, Wang J, Xu B.
    BMC Bioinformatics; 2018 Sep 21; 19(1):332. PubMed ID: 30241459
    [Abstract] [Full Text] [Related]

  • 18. Protein complex prediction with RNSC.
    King AD, Pržulj N, Jurisica I.
    Methods Mol Biol; 2012 Sep 21; 804():297-312. PubMed ID: 22144160
    [Abstract] [Full Text] [Related]

  • 19. 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]

  • 20. 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 Oct 12; 2014():838714. PubMed ID: 25143945
    [Abstract] [Full Text] [Related]


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