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Journal Abstract Search

487 related items for PubMed ID: 24070402

  • 1. Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction.
    Stojanova D, Ceci M, Malerba D, Dzeroski S.
    BMC Bioinformatics; 2013 Sep 26; 14():285. PubMed ID: 24070402
    [Abstract] [Full Text] [Related]

  • 2. A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.
    Zhang F, Song H, Zeng M, Wu FX, Li Y, Pan Y, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Sep 26; 18(6):2208-2217. PubMed ID: 31985440
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  • 4. A deep neural network based hierarchical multi-label classification method.
    Feng S, Zhao C, Fu P.
    Rev Sci Instrum; 2020 Feb 01; 91(2):024103. PubMed ID: 32113459
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  • 7. Modular biological function is most effectively captured by combining molecular interaction data types.
    Ames RM, Macpherson JI, Pinney JW, Lovell SC, Robertson DL.
    PLoS One; 2013 Feb 01; 8(5):e62670. PubMed ID: 23658761
    [Abstract] [Full Text] [Related]

  • 8. Functional annotation of hierarchical modularity.
    Padmanabhan K, Wang K, Samatova NF.
    PLoS One; 2012 Feb 01; 7(4):e33744. PubMed ID: 22496762
    [Abstract] [Full Text] [Related]

  • 9. Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology Annotations.
    Chicco D, Palluzzi F, Masseroli M.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Feb 01; 15(3):954-965. PubMed ID: 28436884
    [Abstract] [Full Text] [Related]

  • 10. Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.
    Fodeh SJ, Tiwari A.
    J Biomed Inform; 2018 Oct 01; 86():160-166. PubMed ID: 30130573
    [Abstract] [Full Text] [Related]

  • 11. Protein function prediction from protein-protein interaction network using gene ontology based neighborhood analysis and physico-chemical features.
    Saha S, Prasad A, Chatterjee P, Basu S, Nasipuri M.
    J Bioinform Comput Biol; 2018 Dec 01; 16(6):1850025. PubMed ID: 30400756
    [Abstract] [Full Text] [Related]

  • 12. Using multi-instance hierarchical clustering learning system to predict yeast gene function.
    Liao B, Li Y, Jiang Y, Cai L.
    PLoS One; 2014 Dec 01; 9(3):e90962. PubMed ID: 24621610
    [Abstract] [Full Text] [Related]

  • 13. Incorporating functional inter-relationships into protein function prediction algorithms.
    Pandey G, Myers CL, Kumar V.
    BMC Bioinformatics; 2009 May 12; 10():142. PubMed ID: 19435516
    [Abstract] [Full Text] [Related]

  • 14. Gene function prediction based on the Gene Ontology hierarchical structure.
    Cheng L, Lin H, Hu Y, Wang J, Yang Z.
    PLoS One; 2014 May 12; 9(9):e107187. PubMed ID: 25192339
    [Abstract] [Full Text] [Related]

  • 15. P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO Annotations.
    Young-Rae Cho, Yanan Xin, Speegle G.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 May 12; 12(2):309-21. PubMed ID: 26357219
    [Abstract] [Full Text] [Related]

  • 16. Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.
    Armean IM, Lilley KS, Trotter MWB, Pilkington NCV, Holden SB.
    Bioinformatics; 2018 Jun 01; 34(11):1884-1892. PubMed ID: 29390084
    [Abstract] [Full Text] [Related]

  • 17. 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 01; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 18. Harnessing the predicted maize pan-interactome for putative gene function prediction and prioritization of candidate genes for important traits.
    Poretsky E, Cagirici HB, Andorf CM, Sen TZ.
    G3 (Bethesda); 2024 May 07; 14(5):. PubMed ID: 38492232
    [Abstract] [Full Text] [Related]

  • 19. Graph embeddings on gene ontology annotations for protein-protein interaction prediction.
    Zhong X, Rajapakse JC.
    BMC Bioinformatics; 2020 Dec 16; 21(Suppl 16):560. PubMed ID: 33323115
    [Abstract] [Full Text] [Related]

  • 20. 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]

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