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Journal Abstract Search

205 related items for PubMed ID: 28186903

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  • 23. 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
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  • 27. A new two-stage method for revealing missing parts of edges in protein-protein interaction networks.
    Zhang W, Xu J, Li Y, Zou X.
    PLoS One; 2017 Dec 01; 12(5):e0177029. PubMed ID: 28493910
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  • 28. 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
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  • 29. Function-function correlated multi-label protein function prediction over interaction networks.
    Wang H, Huang H, Ding C.
    J Comput Biol; 2013 Apr 08; 20(4):322-43. PubMed ID: 23560867
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  • 30. A new method for the discovery of essential proteins.
    Zhang X, Xu J, Xiao WX.
    PLoS One; 2013 Apr 08; 8(3):e58763. PubMed ID: 23555595
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  • 32. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Apr 08; 11(4):616-27. PubMed ID: 26356332
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  • 33. 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
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  • 35. 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 Dec 01; 14(2):370-380. PubMed ID: 28368815
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  • 36. 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 Dec 01; 17(4):1451-1458. PubMed ID: 30596582
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  • 37. A New Method for Identifying Essential Proteins by Measuring Co-Expression and Functional Similarity.
    Zhang W, Xu J, Li X, Zou X.
    IEEE Trans Nanobioscience; 2016 Dec 01; 15(8):939-945. PubMed ID: 27834650
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  • 38. Gene function prediction by a combined analysis of gene expression data and protein-protein interaction data.
    Xiao G, Pan W.
    J Bioinform Comput Biol; 2005 Dec 01; 3(6):1371-89. PubMed ID: 16374912
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  • 39. Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks.
    Peng W, Li M, Chen L, Wang L.
    IEEE/ACM Trans Comput Biol Bioinform; 2017 Dec 01; 14(2):360-369. PubMed ID: 28368814
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  • 40. A New Method for Identifying Essential Proteins Based on Network Topology Properties and Protein Complexes.
    Qin C, Sun Y, Dong Y.
    PLoS One; 2016 Dec 01; 11(8):e0161042. PubMed ID: 27529423
    [Abstract] [Full Text] [Related]

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