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Journal Abstract Search

136 related items for PubMed ID: 37399160

  • 1. CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes.
    Wang W, Meng X, Xiang J, Shuai Y, Bedru HD, Li M.
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4569-4578. PubMed ID: 37399160
    [Abstract] [Full Text] [Related]

  • 2. 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 Sep; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. 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]

  • 5. Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.
    Peng W, Wang J, Zhao B, Wang L.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Jul 24; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. Protein complexes detection based on node local properties and gene expression in PPI weighted networks.
    Yu Y, Kong D.
    BMC Bioinformatics; 2022 Jan 06; 23(1):24. PubMed ID: 34991441
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. 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 May 23; 17(1):e0260484. PubMed ID: 35085263
    [Abstract] [Full Text] [Related]

  • 10. 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]

  • 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. 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]

  • 13. 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 25; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 14. 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 25; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 15. PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel.
    Wang X, Yang W, Yang Y, He Y, Zhang J, Wang L, Hu L.
    IEEE/ACM Trans Comput Biol Bioinform; 2023 Oct 25; 20(2):1606-1612. PubMed ID: 35939453
    [Abstract] [Full Text] [Related]

  • 16. Dopcc: Detecting overlapping protein complexes via multi-metrics and co-core attachment method.
    Wang W, Meng X, Xiang J, Bedru HD, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2024 Jul 17; PP():. PubMed ID: 39018215
    [Abstract] [Full Text] [Related]

  • 17. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 17; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

  • 18. 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]

  • 19. Discovering protein complexes in protein interaction networks via exploring the weak ties effect.
    Ma X, Gao L.
    BMC Syst Biol; 2012 Sep 14; 6 Suppl 1(Suppl 1):S6. PubMed ID: 23046740
    [Abstract] [Full Text] [Related]

  • 20. 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 14; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

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