IDEAS home Printed from https://ideas.repec.org/p/aiz/louvad/2018016.html
   My bibliography  Save this paper

Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics

Author

Listed:
  • Feraud, Baptiste
  • Leenders, Justine
  • Martineau, Estelle
  • Giraudeau, Patrick
  • Govaerts, Bernadette
  • de Tullio, Pascal

Abstract

No abstract is available for this item.

Suggested Citation

  • 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).
    • Handle: RePEc:aiz:louvad:2018016
    as

    Download full text from publisher

    File URL: https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A200549/datastream/PDF_01/view
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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 Reprints ISBA 2017045, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. 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).
    3. 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).
    4. 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).
    5. Manuela J Rist & Alexander Roth & Lara Frommherz & Christoph H Weinert & Ralf Krüger & Benedikt Merz & Diana Bunzel & Carina Mack & Björn Egert & Achim Bub & Benjamin Görling & Pavleta Tzvetkova & Bur, 2017. "Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-21, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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).
    3. 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).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiz:louvad:2018016. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nadja Peiffer (email available below). General contact details of provider: https://edirc.repec.org/data/isuclbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.