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Journal Abstract Search

153 related items for PubMed ID: 36814208

  • 1. Normalized L3-based link prediction in protein-protein interaction networks.
    Yuen HY, Jansson J.
    BMC Bioinformatics; 2023 Feb 22; 24(1):59. PubMed ID: 36814208
    [Abstract] [Full Text] [Related]

  • 2. Reconstructing genome-wide protein-protein interaction networks using multiple strategies with homologous mapping.
    Lo YS, Huang SH, Luo YC, Lin CY, Yang JM.
    PLoS One; 2015 Feb 22; 10(1):e0116347. PubMed ID: 25602759
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  • 3. The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction.
    Fang Y, Sun M, Dai G, Ramain K.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Feb 22; 13(1):76-85. PubMed ID: 26886733
    [Abstract] [Full Text] [Related]

  • 4. Comparative analysis and assessment of M. tuberculosis H37Rv protein-protein interaction datasets.
    Zhou H, Wong L.
    BMC Genomics; 2011 Nov 30; 12 Suppl 3(Suppl 3):S20. PubMed ID: 22369691
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  • 6. Link prediction in protein-protein interaction network: A similarity multiplied similarity algorithm with paths of length three.
    Cai W, Liu P, Wang Z, Jiang H, Liu C, Fei Z, Yang Z.
    J Theor Biol; 2024 Jul 21; 589():111850. PubMed ID: 38740126
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  • 9. Improving the Detection of Protein Complexes by Predicting Novel Missing Interactome Links in the Protein-Protein Interaction Network.
    Zaki N, Alashwal H.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul 21; 2018():5041-5044. PubMed ID: 30441473
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  • 10. Hierarchical graph learning for protein-protein interaction.
    Gao Z, Jiang C, Zhang J, Jiang X, Li L, Zhao P, Yang H, Huang Y, Li J.
    Nat Commun; 2023 Feb 25; 14(1):1093. PubMed ID: 36841846
    [Abstract] [Full Text] [Related]

  • 11. Handling Noise in Protein Interaction Networks.
    Correia FB, Coelho ED, Oliveira JL, Arrais JP.
    Biomed Res Int; 2019 Feb 25; 2019():8984248. PubMed ID: 31828144
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  • 12. Predicting genome-scale Arabidopsis-Pseudomonas syringae interactome using domain and interolog-based approaches.
    Sahu SS, Weirick T, Kaundal R.
    BMC Bioinformatics; 2014 Feb 25; 15 Suppl 11(Suppl 11):S13. PubMed ID: 25350354
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  • 13. MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions.
    Hayashi T, Matsuzaki Y, Yanagisawa K, Ohue M, Akiyama Y.
    BMC Bioinformatics; 2018 May 08; 19(Suppl 4):62. PubMed ID: 29745830
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  • 15. t-LSE: a novel robust geometric approach for modeling protein-protein interaction networks.
    Zhu L, You ZH, Huang DS, Wang B.
    PLoS One; 2013 May 08; 8(4):e58368. PubMed ID: 23560036
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  • 16. Constructing a robust protein-protein interaction network by integrating multiple public databases.
    Martha VS, Liu Z, Guo L, Su Z, Ye Y, Fang H, Ding D, Tong W, Xu X.
    BMC Bioinformatics; 2011 Oct 18; 12 Suppl 10(Suppl 10):S7. PubMed ID: 22165958
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  • 17. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L, Liao L, Wu CH.
    BMC Bioinformatics; 2018 Mar 22; 19(1):103. PubMed ID: 29566671
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  • 19. Stringent homology-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions.
    Zhou H, Gao S, Nguyen NN, Fan M, Jin J, Liu B, Zhao L, Xiong G, Tan M, Li S, Wong L.
    Biol Direct; 2014 Apr 08; 9():5. PubMed ID: 24708540
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