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Journal Abstract Search

177 related items for PubMed ID: 22759576

  • 1. Filtering Gene Ontology semantic similarity for identifying protein complexes in large protein interaction networks.
    Wang J, Xie D, Lin H, Yang Z, Zhang Y.
    Proteome Sci; 2012 Jun 21; 10 Suppl 1(Suppl 1):S18. PubMed ID: 22759576
    [Abstract] [Full Text] [Related]

  • 2. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 21; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

  • 3. Comparative analysis of gene ontology-based semantic similarity measurements for the application of identifying essential proteins.
    Xue X, Zhang W, Fan A.
    PLoS One; 2023 Aug 21; 18(4):e0284274. PubMed ID: 37083829
    [Abstract] [Full Text] [Related]

  • 4. Detecting overlapping protein complexes in PPI networks based on robustness.
    Wang S, Wu F.
    Proteome Sci; 2013 Nov 07; 11(Suppl 1):S18. PubMed ID: 24565162
    [Abstract] [Full Text] [Related]

  • 5. Ontology integration to identify protein complex in protein interaction networks.
    Xu B, Lin H, Yang Z.
    Proteome Sci; 2011 Oct 14; 9 Suppl 1(Suppl 1):S7. PubMed ID: 22165991
    [Abstract] [Full Text] [Related]

  • 6. An improved method for scoring protein-protein interactions using semantic similarity within the gene ontology.
    Jain S, Bader GD.
    BMC Bioinformatics; 2010 Nov 15; 11():562. PubMed ID: 21078182
    [Abstract] [Full Text] [Related]

  • 7. Alignment of PPI Networks Using Semantic Similarity for Conserved Protein Complex Prediction.
    Shui Y, Cho YR.
    IEEE Trans Nanobioscience; 2016 Jun 15; 15(4):380-389. PubMed ID: 28113907
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  • 11. 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
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  • 12. Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.
    Mukhopadhyay A, Ray S, De M.
    Mol Biosyst; 2012 Nov 14; 8(11):3036-48. PubMed ID: 22990765
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  • 14. Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities.
    Fernando PC, Mabee PM, Zeng E.
    BMC Bioinformatics; 2020 Oct 07; 21(1):442. PubMed ID: 33028186
    [Abstract] [Full Text] [Related]

  • 15. 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 07; 25(6):586-605. PubMed ID: 29668304
    [Abstract] [Full Text] [Related]

  • 16. 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 07; 111():103333. PubMed ID: 31376777
    [Abstract] [Full Text] [Related]

  • 17. A multiobjective approach for identifying protein complexes and studying their association in multiple disorders.
    Bandyopadhyay S, Ray S, Mukhopadhyay A, Maulik U.
    Algorithms Mol Biol; 2015 Aug 07; 10():24. PubMed ID: 26257820
    [Abstract] [Full Text] [Related]

  • 18. Semantic integration to identify overlapping functional modules in protein interaction networks.
    Cho YR, Hwang W, Ramanathan M, Zhang A.
    BMC Bioinformatics; 2007 Jul 24; 8():265. PubMed ID: 17650343
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  • 19. 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]

  • 20. Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach.
    Peng J, Zhang X, Hui W, Lu J, Li Q, Liu S, Shang X.
    BMC Syst Biol; 2018 Mar 19; 12(Suppl 2):18. PubMed ID: 29560823
    [Abstract] [Full Text] [Related]

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