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Journal Abstract Search

152 related items for PubMed ID: 32712150

  • 1.
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  • 2. An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information.
    Li S, Zhang Z, Li X, Tan Y, Wang L, Chen Z.
    BMC Bioinformatics; 2021 Sep 08; 22(1):430. PubMed ID: 34496745
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. An iteration method for identifying yeast essential proteins from heterogeneous network.
    Zhao B, Zhao Y, Zhang X, Zhang Z, Zhang F, Wang L.
    BMC Bioinformatics; 2019 Jun 24; 20(1):355. PubMed ID: 31234779
    [Abstract] [Full Text] [Related]

  • 5. A novel method to predict essential proteins based on tensor and HITS algorithm.
    Zhang Z, Luo Y, Hu S, Li X, Wang L, Zhao B.
    Hum Genomics; 2020 Apr 06; 14(1):14. PubMed ID: 32252824
    [Abstract] [Full Text] [Related]

  • 6. Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information.
    Li M, Li W, Wu FX, Pan Y, Wang J.
    J Theor Biol; 2018 Jun 14; 447():65-73. PubMed ID: 29571709
    [Abstract] [Full Text] [Related]

  • 7. A novel essential protein identification method based on PPI networks and gene expression data.
    Zhong J, Tang C, Peng W, Xie M, Sun Y, Tang Q, Xiao Q, Yang J.
    BMC Bioinformatics; 2021 May 13; 22(1):248. PubMed ID: 33985429
    [Abstract] [Full Text] [Related]

  • 8. A new method for the discovery of essential proteins.
    Zhang X, Xu J, Xiao WX.
    PLoS One; 2013 May 13; 8(3):e58763. PubMed ID: 23555595
    [Abstract] [Full Text] [Related]

  • 9. Predicting Essential Proteins Based on Integration of Local Fuzzy Fractal Dimension and Subcellular Location Information.
    Shen L, Zhang J, Wang F, Liu K.
    Genes (Basel); 2022 Jan 19; 13(2):. PubMed ID: 35205217
    [Abstract] [Full Text] [Related]

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  • 11. 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]

  • 12. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.
    Luo J, Qi Y.
    PLoS One; 2015 Jan 06; 10(6):e0131418. PubMed ID: 26125187
    [Abstract] [Full Text] [Related]

  • 13. Efficient and accurate Greedy Search Methods for mining functional modules in protein interaction networks.
    He J, Li C, Ye B, Zhong W.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S19. PubMed ID: 22759424
    [Abstract] [Full Text] [Related]

  • 14. 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 Jun 25; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 15. 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]

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  • 17. Prediction of essential proteins based on subcellular localization and gene expression correlation.
    Fan Y, Tang X, Hu X, Wu W, Ping Q.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):470. PubMed ID: 29219067
    [Abstract] [Full Text] [Related]

  • 18.
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  • 19. A new computational strategy for identifying essential proteins based on network topological properties and biological information.
    Qin C, Sun Y, Dong Y.
    PLoS One; 2017 Dec 01; 12(7):e0182031. PubMed ID: 28753682
    [Abstract] [Full Text] [Related]

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