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Master Thesis

Analyse de multiples blocs de données compositionnelles : application à l'étude de la sous-nutrition chronique

Abstract : Growth delay syndrome affects a quarter of the children who are under five. It is to better understand the links between growth delay and undernutrition that the Afribiota project was set up. This reports presents the work realised in order to integrate the compositional datasets generated by this study and to detect biomarkers of growth delay. The processus and the importance of the integration of the compositional aspect of the data are detailed. Then, a methodology of integration for a single block and two methodologies for multiple blocks are proposed, as well as differential analysis methods. It result that undernutrition generate modifications of the intestinal ecosystem, and more paticularly an imbalance of bacterial populations and a modification of the bile acid relative abondances.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-02746065
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Submitted on : Wednesday, June 3, 2020 - 9:27:54 AM
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Antoine Ménard. Analyse de multiples blocs de données compositionnelles : application à l'étude de la sous-nutrition chronique. Sciences du Vivant [q-bio]. 2019. ⟨dumas-02746065⟩

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