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Journal Abstract Search

136 related items for PubMed ID: 25350598

  • 1. Integrating PPI datasets with the PPI data from biomedical literature for protein complex detection.
    Yang Z, Yu F, Lin H, Wang J.
    BMC Med Genomics; 2014; 7 Suppl 2(Suppl 2):S3. PubMed ID: 25350598
    [Abstract] [Full Text] [Related]

  • 2. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [Abstract] [Full Text] [Related]

  • 3. 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; 16 Suppl 12(Suppl 12):S3. PubMed ID: 26329886
    [Abstract] [Full Text] [Related]

  • 4. PPIExtractor: a protein interaction extraction and visualization system for biomedical literature.
    Yang Z, Zhao Z, Li Y, Hu Y, Lin H.
    IEEE Trans Nanobioscience; 2013 Sep; 12(3):173-81. PubMed ID: 23974658
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein⁻Protein Interaction Network.
    Cao B, Deng S, Qin H, Ding P, Chen S, Li G.
    Molecules; 2018 Jun 15; 23(6):. PubMed ID: 29914123
    [Abstract] [Full Text] [Related]

  • 7. Complex discovery from weighted PPI networks.
    Liu G, Wong L, Chua HN.
    Bioinformatics; 2009 Aug 01; 25(15):1891-7. PubMed ID: 19435747
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. 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]

  • 10. Protein complex identification by integrating protein-protein interaction evidence from multiple sources.
    Xu B, Lin H, Chen Y, Yang Z, Liu H.
    PLoS One; 2013 Jul 25; 8(12):e83841. PubMed ID: 24386289
    [Abstract] [Full Text] [Related]

  • 11. PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation.
    Cao B, Luo J, Liang C, Wang S, Ding P.
    IEEE Trans Nanobioscience; 2016 Oct 25; 15(7):728-738. PubMed ID: 27662678
    [Abstract] [Full Text] [Related]

  • 12. PINOT: an intuitive resource for integrating protein-protein interactions.
    Tomkins JE, Ferrari R, Vavouraki N, Hardy J, Lovering RC, Lewis PA, McGuffin LJ, Manzoni C.
    Cell Commun Signal; 2020 Jun 11; 18(1):92. PubMed ID: 32527260
    [Abstract] [Full Text] [Related]

  • 13. Detection of protein complexes from multiple protein interaction networks using graph embedding.
    Liu X, Yang Z, Sang S, Lin H, Wang J, Xu B.
    Artif Intell Med; 2019 May 11; 96():107-115. PubMed ID: 31164203
    [Abstract] [Full Text] [Related]

  • 14. Discovering protein complexes in protein interaction networks via exploring the weak ties effect.
    Ma X, Gao L.
    BMC Syst Biol; 2012 May 11; 6 Suppl 1(Suppl 1):S6. PubMed ID: 23046740
    [Abstract] [Full Text] [Related]

  • 15. Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks.
    Alachram H, Chereda H, Beißbarth T, Wingender E, Stegmaier P.
    PLoS One; 2021 May 11; 16(10):e0258623. PubMed ID: 34653224
    [Abstract] [Full Text] [Related]

  • 16. Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.
    Taghipour S, Zarrineh P, Ganjtabesh M, Nowzari-Dalini A.
    BMC Bioinformatics; 2017 Jan 03; 18(1):10. PubMed ID: 28049415
    [Abstract] [Full Text] [Related]

  • 17. 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]

  • 18. 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]

  • 19. Discovering reliable protein interactions from high-throughput experimental data using network topology.
    Chen J, Hsu W, Lee ML, Ng SK.
    Artif Intell Med; 2005 Aug 27; 35(1-2):37-47. PubMed ID: 16055319
    [Abstract] [Full Text] [Related]

  • 20. Denoising Protein-Protein interaction network via variational graph auto-encoder for protein complex detection.
    Yao H, Guan J, Liu T.
    J Bioinform Comput Biol; 2020 Jun 27; 18(3):2040010. PubMed ID: 32698725
    [Abstract] [Full Text] [Related]

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