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Journal Abstract Search

247 related items for PubMed ID: 21821401

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  • 2. Additive survival least-squares support vector machines.
    Van Belle V, Pelckmans K, Suykens JA, Van Huffel S.
    Stat Med; 2010 Jan 30; 29(2):296-308. PubMed ID: 20024943
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  • 3. Mixture classification model based on clinical markers for breast cancer prognosis.
    Zeng T, Liu J.
    Artif Intell Med; 2010 Jan 30; 48(2-3):129-37. PubMed ID: 20005686
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  • 5. Impact of censoring on learning Bayesian networks in survival modelling.
    Stajduhar I, Dalbelo-Basić B, Bogunović N.
    Artif Intell Med; 2009 Nov 30; 47(3):199-217. PubMed ID: 19833488
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  • 11. Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
    Kalderstam J, Edén P, Bendahl PO, Strand C, Fernö M, Ohlsson M.
    Artif Intell Med; 2013 Jun 30; 58(2):125-32. PubMed ID: 23582884
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  • 13. Kernel Cox regression models for linking gene expression profiles to censored survival data.
    Li H, Luan Y.
    Pac Symp Biocomput; 2003 Jun 30; ():65-76. PubMed ID: 12603018
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  • 17. Cox survival analysis of microarray gene expression data using correlation principal component regression.
    Zhao Q, Sun J.
    Stat Appl Genet Mol Biol; 2007 Jun 30; 6():Article16. PubMed ID: 17542778
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  • 18. Cancer survival classification using integrated data sets and intermediate information.
    Kim S, Park T, Kon M.
    Artif Intell Med; 2014 Sep 30; 62(1):23-31. PubMed ID: 24997860
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  • 19. Application of support vector machine-based ranking strategies to search for target-selective compounds.
    Wassermann AM, Geppert H, Bajorath J.
    Methods Mol Biol; 2011 Sep 30; 672():517-30. PubMed ID: 20838983
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