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PepsNMR for the 1H-NMR metabolomic data pre-processing

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Listed:
  • Martin, Manon
  • Legat, Benoit
  • Leenders, Justine
  • Vanwinsberghe, Julien
  • Rousseau, Rejane
  • De Tullio, Pascal
  • Govaerts, Bernadette

Abstract

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Suggested Citation

  • Martin, Manon & Legat, Benoit & Leenders, Justine & Vanwinsberghe, Julien & Rousseau, Rejane & De Tullio, Pascal & Govaerts, Bernadette, 2017. "PepsNMR for the 1H-NMR metabolomic data pre-processing," LIDAM Discussion Papers ISBA 2017022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvad:2017022
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    References listed on IDEAS

    as
    1. 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).

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    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. 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).

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