Méthodes modernes d'analyse de données en biophysique analytique : résolution des problèmes inverses en RMN DOSY et SM

Abstract : This thesis aims at proposing new approaches to solve the inverse problem in biophysics. Firstly, we study the DOSY NMR experiment: a new hybrid regularization approach has been proposed with a novel PALMA algorithm (http://palma.labo.igbmc.fr/). This algorithm ensures the efficient analysis of real DOSY data with a high precision for all different type. In a second time, we study the mass spectrometry application. We have proposed a new dictionary based approach dedicated to proteomic analysis using the averagine model and the constrained minimization approach associated with a sparsity inducing penalty. In order to improve the accuracy of the information, we proposed a new SPOQ method based on a new penalization, solved with a new Forward-Backward algorithm with a variable metric locally adjusted. All our algorithms benefit from sounded convergence guarantees, and have been validated experimentally on synthetics and real data.
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Submitted on : Monday, August 26, 2019 - 1:04:08 PM
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Afef Cherni. Méthodes modernes d'analyse de données en biophysique analytique : résolution des problèmes inverses en RMN DOSY et SM. Génomique, Transcriptomique et Protéomique [q-bio.GN]. Université de Strasbourg, 2018. Français. ⟨NNT : 2018STRAJ055⟩. ⟨tel-02270853⟩

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