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Journal Abstract Search

1514 related items for PubMed ID: 31660848

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  • 2. Drug-target interaction prediction with tree-ensemble learning and output space reconstruction.
    Pliakos K, Vens C.
    BMC Bioinformatics; 2020 Feb 07; 21(1):49. PubMed ID: 32033537
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  • 5. Unsupervised Gene Network Inference with Decision Trees and Random Forests.
    Huynh-Thu VA, Geurts P.
    Methods Mol Biol; 2019 Feb 07; 1883():195-215. PubMed ID: 30547401
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  • 6. Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network.
    Yan XY, Zhang SW, Zhang SY.
    Mol Biosyst; 2016 Feb 07; 12(2):520-31. PubMed ID: 26675534
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  • 10. A Novel Model Integration Network Inference Algorithm with Clustering and Hub Genes Finding.
    Li W, Zhang W, Zhang J.
    Mol Inform; 2020 May 07; 39(5):e1900075. PubMed ID: 31990443
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  • 15. Reviewing ensemble classification methods in breast cancer.
    Hosni M, Abnane I, Idri A, Carrillo de Gea JM, Fernández Alemán JL.
    Comput Methods Programs Biomed; 2019 Aug 07; 177():89-112. PubMed ID: 31319964
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  • 16. Gene expression complex networks: synthesis, identification, and analysis.
    Lopes FM, Cesar RM, Costa Lda F.
    J Comput Biol; 2011 Oct 07; 18(10):1353-67. PubMed ID: 21548810
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  • 17. 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
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  • 19. LEARNING PARSIMONIOUS ENSEMBLES FOR UNBALANCED COMPUTATIONAL GENOMICS PROBLEMS.
    Stanescu A, Pandey G.
    Pac Symp Biocomput; 2017 Sep 26; 22():288-299. PubMed ID: 27896983
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  • 20. A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems.
    Yin W, Garimalla S, Moreno A, Galinski MR, Styczynski MP.
    BMC Syst Biol; 2015 Aug 28; 9():49. PubMed ID: 26310492
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