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Elaboration d'une procédure standardisée d'harmonisation des données de cytométrie en flux dans le cadre d'études multicentriques

Abstract : The aim of this thesis is to ensure the comparability of flow cytometry data within the context of multi-center studies. This thesis work is part of the PRECISESADS project. This European project seeks to reclassify the systemic autoimmune diseases using "omic" data to find useful biological signatures. This encompasses tools like genomic, proteomic ... and flow cytometry. The inclusion of numerous individuals in the project make the use of informatics tools a must for the analysis automation of the thousands flow cytometry files obtained during the 5-years period of the project.Cell populations frequencies extracted from the files are comparable between centers but that is not the case for the median of fluorescence intensities (MFI) of the studied molecules, despite a normalization step. The origin of this incomparability is due to a combination of a batch effect and a center effect. Those two effects can be corrected with specific coefficients. The normalization and correction of both batch and center effect thanks to the elaboration of new R script and python script allow the production of comparable MFI between centers. Overall, this thesis work established a new standardized procedure, efficient for any multi-center projects of flow cytometry data analysis.
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Lucas Le Lann. Elaboration d'une procédure standardisée d'harmonisation des données de cytométrie en flux dans le cadre d'études multicentriques. Médecine humaine et pathologie. Université de Bretagne occidentale - Brest, 2019. Français. ⟨NNT : 2019BRES0048⟩. ⟨tel-02890387⟩

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