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Characterizing the Relationship Between HIV-1 Genotype and Phenotype: Prediction-Based Classification

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  • A. S. Foulkes
  • V. De Gruttola

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  • A. S. Foulkes & V. De Gruttola, 2002. "Characterizing the Relationship Between HIV-1 Genotype and Phenotype: Prediction-Based Classification," Biometrics, The International Biometric Society, vol. 58(1), pages 145-156, March.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:145-156
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00145.x
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    References listed on IDEAS

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    1. Mark R. Segal & Michael P. Cummings & Alan E. Hubbard, 2001. "Relating Amino Acid Sequence to Phenotype: Analysis of Peptide-Binding Data," Biometrics, The International Biometric Society, vol. 57(2), pages 632-643, June.
    2. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    3. Daowen Zhang & Marie Davidian, 2001. "Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data," Biometrics, The International Biometric Society, vol. 57(3), pages 795-802, September.
    4. Ciampi, Antonio & Thiffault, Johanne & Nakache, Jean-Pierre & Asselain, Bernard, 1986. "Stratification by stepwise regression, correspondence analysis and recursive partition: a comparison of three methods of analysis for survival data with covariates," Computational Statistics & Data Analysis, Elsevier, vol. 4(3), pages 185-204, October.
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    Cited by:

    1. Saigo Hiroto & Altmann Andre & Bogojeska Jasmina & Müller Fabian & Nowozin Sebastian & Lengauer Thomas, 2011. "Learning from Past Treatments and Their Outcome Improves Prediction of In Vivo Response to Anti-HIV Therapy," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-32, January.

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