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Journal Abstract Search

168 related items for PubMed ID: 26355787

  • 21. A new method for predicting essential proteins based on participation degree in protein complex and subgraph density.
    Lei X, Yang X.
    PLoS One; 2018; 13(6):e0198998. PubMed ID: 29894517
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  • 23. 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
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  • 24. A local average connectivity-based method for identifying essential proteins from the network level.
    Li M, Wang J, Chen X, Wang H, Pan Y.
    Comput Biol Chem; 2011 Jun 18; 35(3):143-50. PubMed ID: 21704260
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  • 25. Protein complex prediction in large ontology attributed protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Li Y, Xu B.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Jun 18; 10(3):729-41. PubMed ID: 24091405
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  • 26. CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks.
    Tang Y, Li M, Wang J, Pan Y, Wu FX.
    Biosystems; 2015 Jan 18; 127():67-72. PubMed ID: 25451770
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  • 27. Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology.
    Ning K, Ng HK, Srihari S, Leong HW, Nesvizhskii AI.
    BMC Bioinformatics; 2010 Oct 12; 11():505. PubMed ID: 20939873
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  • 28. A New Method for Identifying Essential Proteins Based on Network Topology Properties and Protein Complexes.
    Qin C, Sun Y, Dong Y.
    PLoS One; 2016 Oct 12; 11(8):e0161042. PubMed ID: 27529423
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  • 29. Construction of Refined Protein Interaction Network for Predicting Essential Proteins.
    Li M, Ni P, Chen X, Wang J, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2019 Oct 12; 16(4):1386-1397. PubMed ID: 28186903
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  • 30. 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 Oct 12; 18(4):e0284274. PubMed ID: 37083829
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  • 34. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
    Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S.
    Artif Intell Med; 2015 Mar 12; 63(3):181-9. PubMed ID: 25765008
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  • 35. Network-based prediction and knowledge mining of disease genes.
    Carson MB, Lu H.
    BMC Med Genomics; 2015 Mar 12; 8 Suppl 2(Suppl 2):S9. PubMed ID: 26043920
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  • 37. A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information.
    Zeng M, Li M, Fei Z, Wu FX, Li Y, Pan Y, Wang J.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Mar 12; 18(1):296-305. PubMed ID: 30736002
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  • 40. 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 Mar 12; 11(4):616-27. PubMed ID: 26356332
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