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Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics

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  • Feraud, Baptiste
  • Munaut, Carine
  • Martin, Manon
  • Verleysen, Michel
  • Govaerts, Bernadette

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Suggested Citation

  • Feraud, Baptiste & Munaut, Carine & Martin, Manon & Verleysen, Michel & Govaerts, Bernadette, 2017. "Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics," LIDAM Discussion Papers ISBA 2017020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvad:2017020
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    References listed on IDEAS

    as
    1. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    2. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
    3. Feraud, Baptiste & Govaerts, Bernadette & Verleysen, Michel & de Tullio, Pascal, 2015. "Statistical treatment of 2D NMR COSY spectra in metabolomics: data preparation, clustering-based evaluation of the Metabolomic Informative Content and comparison with 1H-NMR," LIDAM Reprints ISBA 2015024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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    Cited by:

    1. Feraud, Baptiste & Leenders, Justine & Martineau, Estelle & Giraudeau, Patrick & Govaerts, Bernadette & de Tullio, Pascal, 2018. "Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics," LIDAM Discussion Papers ISBA 2018016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Martin, Manon & Govaerts, Bernadette, 2019. "Feature Selection in metabolomics with PLS-derived methods," LIDAM Discussion Papers ISBA 2019020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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