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Journal Abstract Search

164 related items for PubMed ID: 37105110

  • 1. 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; 159():106936. PubMed ID: 37105110
    [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. 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 Dec 01; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 4. 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 01; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 5. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
    Cao B, Luo J, Liang C, Wang S, Song D.
    Comput Biol Chem; 2015 Oct 01; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 6. Detecting Protein Complexes from Signed Protein-Protein Interaction Networks.
    Ou-Yang L, Dai DQ, Zhang XF.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Oct 01; 12(6):1333-44. PubMed ID: 26671805
    [Abstract] [Full Text] [Related]

  • 7. Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks.
    Sahoo TR, Patra S, Vipsita S.
    Comput Biol Chem; 2023 Oct 01; 106():107935. PubMed ID: 37536230
    [Abstract] [Full Text] [Related]

  • 8. Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information.
    Pan X, Hu L, Hu P, You ZH.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Oct 01; 19(5):2882-2893. PubMed ID: 34242171
    [Abstract] [Full Text] [Related]

  • 9. Joint clustering of protein interaction networks through Markov random walk.
    Wang Y, Qian X.
    BMC Syst Biol; 2014 Oct 01; 8 Suppl 1(Suppl 1):S9. PubMed ID: 24565376
    [Abstract] [Full Text] [Related]

  • 10. 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 01; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 11. PCD-GED: Protein complex detection considering PPI dynamics based on time series gene expression data.
    Lakizadeh A, Jalili S, Marashi SA.
    J Theor Biol; 2015 Aug 07; 378():31-8. PubMed ID: 25934349
    [Abstract] [Full Text] [Related]

  • 12. 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
    [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 01; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 14. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 01; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 16. 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]

  • 17. 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 Mar 25; 17(1):e0260484. PubMed ID: 35085263
    [Abstract] [Full Text] [Related]

  • 18. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J, Zheng Z, Yang M, Fung GPC, Huang C.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Mar 25; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 19. 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]

  • 20. Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization.
    Ou-Yang L, Dai DQ, Zhang XF.
    PLoS One; 2013 May 23; 8(5):e62158. PubMed ID: 23658709
    [Abstract] [Full Text] [Related]

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