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Journal Abstract Search

201 related items for PubMed ID: 31376777

  • 1. A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks.
    Zhang J, Zhong C, Huang Y, Lin HX, Wang M.
    Comput Biol Med; 2019 Aug; 111():103333. PubMed ID: 31376777
    [Abstract] [Full Text] [Related]

  • 2. 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; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 3. Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks.
    Zhang J, Zhong C, Lin HX, Wang M.
    Biomed Res Int; 2019 Mar; 2019():3726721. PubMed ID: 31531351
    [Abstract] [Full Text] [Related]

  • 4. 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]

  • 5. CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations.
    Xu Y, Zhou J, Zhou S, Guan J.
    BMC Syst Biol; 2017 Dec 21; 11(Suppl 7):135. PubMed ID: 29322927
    [Abstract] [Full Text] [Related]

  • 6. Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.
    Lei X, Liang J.
    Molecules; 2017 Jul 24; 22(7):. PubMed ID: 28737728
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  • 7. 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 24; 25(6):586-605. PubMed ID: 29668304
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. Identification of protein complexes from multi-relationship protein interaction networks.
    Li X, Wang J, Zhao B, Wu FX, Pan Y.
    Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
    [Abstract] [Full Text] [Related]

  • 10. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data.
    Li M, Wu X, Wang J, Pan Y.
    BMC Bioinformatics; 2012 May 23; 13():109. PubMed ID: 22621308
    [Abstract] [Full Text] [Related]

  • 11. 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 23; 63(3):181-9. PubMed ID: 25765008
    [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 23; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 13. An uncertain model-based approach for identifying dynamic protein complexes in uncertain protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Liu Y.
    BMC Genomics; 2017 Oct 16; 18(Suppl 7):743. PubMed ID: 29513194
    [Abstract] [Full Text] [Related]

  • 14. 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 Oct 16; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 15. Identifying protein complexes from protein-protein interaction networks based on the gene expression profile and core-attachment approach.
    Noori S, Al-A'Araji N, Al-Shamery E.
    J Bioinform Comput Biol; 2021 Jun 16; 19(3):2150009. PubMed ID: 33910494
    [Abstract] [Full Text] [Related]

  • 16. Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
    Wang R, Wang C, Ma H.
    BMC Bioinformatics; 2022 Oct 07; 23(1):414. PubMed ID: 36207692
    [Abstract] [Full Text] [Related]

  • 17. IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.
    Yerneni S, Khan IK, Wei Q, Kihara D.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Oct 07; 15(4):1247-1258. PubMed ID: 26415209
    [Abstract] [Full Text] [Related]

  • 18. A seed expansion-based method to identify essential proteins by integrating protein-protein interaction sub-networks and multiple biological characteristics.
    Zhao H, Liu G, Cao X.
    BMC Bioinformatics; 2023 Nov 30; 24(1):452. PubMed ID: 38036960
    [Abstract] [Full Text] [Related]

  • 19. Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
    Yu L, Gao L, Kong C.
    Proteomics; 2011 Oct 30; 11(19):3826-34. PubMed ID: 21761565
    [Abstract] [Full Text] [Related]

  • 20. Protein complex prediction in large ontology attributed protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Li Y, Xu B.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Oct 30; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

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