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PUBMED FOR HANDHELDS

Journal Abstract Search


288 related items for PubMed ID: 27586883

  • 1. Predicting essential proteins based on subcellular localization, orthology and PPI networks.
    Li G, Li M, Wang J, Wu J, Wu FX, Pan Y.
    BMC Bioinformatics; 2016 Aug 31; 17 Suppl 8(Suppl 8):279. PubMed ID: 27586883
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins.
    Li G, Li M, Wang J, Li Y, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Jun 14; 17(4):1451-1458. PubMed ID: 30596582
    [Abstract] [Full Text] [Related]

  • 4. Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks.
    Peng W, Wang J, Wang W, Liu Q, Wu FX, Pan Y.
    BMC Syst Biol; 2012 Jul 18; 6():87. PubMed ID: 22808943
    [Abstract] [Full Text] [Related]

  • 5. Predicting Essential Proteins by Integrating Network Topology, Subcellular Localization Information, Gene Expression Profile and GO Annotation Data.
    Zhang W, Xu J, Zou X.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Jul 18; 17(6):2053-2061. PubMed ID: 31095490
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks.
    Li M, Lu Y, Wang J, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Jun 24; 12(2):372-83. PubMed ID: 26357224
    [Abstract] [Full Text] [Related]

  • 8. 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 Jun 24; 12(7):e0182031. PubMed ID: 28753682
    [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]

  • 10. Essential Protein Detection by Random Walk on Weighted Protein-Protein Interaction Networks.
    Xu B, Guan J, Wang Y, Wang Z.
    IEEE/ACM Trans Comput Biol Bioinform; 2019 Jan 19; 16(2):377-387. PubMed ID: 28504946
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. United Complex Centrality for Identification of Essential Proteins from PPI Networks.
    Li M, Lu Y, Niu Z, Wu FX.
    IEEE/ACM Trans Comput Biol Bioinform; 2017 Sep 08; 14(2):370-380. PubMed ID: 28368815
    [Abstract] [Full Text] [Related]

  • 13. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.
    Luo J, Qi Y.
    PLoS One; 2015 Sep 08; 10(6):e0131418. PubMed ID: 26125187
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. 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]

  • 16. Predicting essential proteins from protein-protein interactions using order statistics.
    Zhang Z, Ruan J, Gao J, Wu FX.
    J Theor Biol; 2019 Nov 07; 480():274-283. PubMed ID: 31251944
    [Abstract] [Full Text] [Related]

  • 17. SiPAN: simultaneous prediction and alignment of protein-protein interaction networks.
    Alkan F, Erten C.
    Bioinformatics; 2015 Jul 15; 31(14):2356-63. PubMed ID: 25788620
    [Abstract] [Full Text] [Related]

  • 18. CEGSO: Boosting Essential Proteins Prediction by Integrating Protein Complex, Gene Expression, Gene Ontology, Subcellular Localization and Orthology Information.
    Zhang W, Xue X, Xie C, Li Y, Liu J, Chen H, Li G.
    Interdiscip Sci; 2021 Sep 15; 13(3):349-361. PubMed ID: 33772722
    [Abstract] [Full Text] [Related]

  • 19. Predicting essential proteins by integrating orthology, gene expressions, and PPI networks.
    Zhang X, Xiao W, Hu X.
    PLoS One; 2018 Sep 15; 13(4):e0195410. PubMed ID: 29634727
    [Abstract] [Full Text] [Related]

  • 20. Prediction of essential proteins based on overlapping essential modules.
    Zhao B, Wang J, Li M, Wu FX, Pan Y.
    IEEE Trans Nanobioscience; 2014 Dec 15; 13(4):415-24. PubMed ID: 25122840
    [Abstract] [Full Text] [Related]


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