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Journal Abstract Search

139 related items for PubMed ID: 31631226

  • 1. A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks.
    Wu Z, Liao Q, Liu B.
    Brief Bioinform; 2020 Sep 25; 21(5):1531-1548. PubMed ID: 31631226
    [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 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 Dec 01; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 4. A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
    Hu L, Chan KC.
    BMC Bioinformatics; 2015 May 27; 16():174. PubMed ID: 26013799
    [Abstract] [Full Text] [Related]

  • 5. 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 27; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 6. A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks.
    Zhan Y, Liu J, Wu M, Tan CSH, Li X, Ou-Yang L.
    Comput Biol Med; 2023 Jun 27; 159():106936. PubMed ID: 37105110
    [Abstract] [Full Text] [Related]

  • 7. Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks.
    Zhang J, Zhong C, Lin HX, Wang M.
    Biomed Res Int; 2019 Jun 27; 2019():3726721. PubMed ID: 31531351
    [Abstract] [Full Text] [Related]

  • 8. 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 27; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

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

  • 10. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 27; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

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

  • 12. Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward.
    Omranian S, Nikoloski Z, Grimm DG.
    Comput Struct Biotechnol J; 2022 Jul 24; 20():2699-2712. PubMed ID: 35685359
    [Abstract] [Full Text] [Related]

  • 13. 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 24; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. A New Method for Detecting Protein Complexes based on the Three Node Cliques.
    Zhang W, Zou X.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Sep 06; 12(4):879-86. PubMed ID: 26357329
    [Abstract] [Full Text] [Related]

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  • 17. idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation.
    Wu Z, Liao Q, Liu B.
    Brief Bioinform; 2021 Mar 22; 22(2):1972-1983. PubMed ID: 32065215
    [Abstract] [Full Text] [Related]

  • 18. 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]

  • 19. A comprehensive review and comparison of different computational methods for protein remote homology detection.
    Chen J, Guo M, Wang X, Liu B.
    Brief Bioinform; 2018 Mar 01; 19(2):231-244. PubMed ID: 27881430
    [Abstract] [Full Text] [Related]

  • 20. 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]

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