Ph.D
Group : Bioinformatics

Analyse des voies métabolique au cours du cycle cellulaire : application au métabolisme du cancer

Starts on 01/10/2016
Advisor : PERES, Sabine

Funding : Contrat doctoral uniquement recherche
Affiliation : Université Paris-Saclay
Laboratory : LRI - BioInfo

Defended on 05/11/2020, committee :

Research activities :

Abstract :
The goal of this thesis is to study how the mammal cell adjusts its metabolism to the steps of the cell cycle. The cell cycle is the series of events leading a cell to divide itself. The purpose of the metabolism is to supply the cell with all the elements and the energy it needs to work. In particular, at every step of the cell cycle, the cell needs different elements to properly divide itself. So, it is crucial for the cell to coordinate the metabolism and the cell cycle and in particular to control what the metabolism produces through the cell cycle.

To have a better understanding of the links between these two processes, we studied how a mathematical model representing the metabolism answered to different variations imposed by the cell cycle and we compared those answers to the literature. Satisfied by the results, we therefore built a hybrid model representing the evolution of the metabolism through the cell cycle. We recover in this hybrid model the main known variations of the metabolism through the cycle’s phases as well as experimental variations of the energetic and redox metabolites.

Encouraged by these results, we finally disturbed our hybrid model to recover metabolic tendencies due to cancer, a set of diseases affecting both the metabolism and the cell cycle.

CAUSAL LEARNING FOR DIAGNOSTIC SUPPORT


CAUSAL UNCERTAINTY QUANTIFICATION UNDER PARTIAL KNOWLEDGE AND LOW DATA REGIMES


MICRO VISUALIZATIONS: DESIGN AND ANALYSIS OF VISUALIZATIONS FOR SMALL DISPLAY SPACES
The topic of this habilitation is the study of very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. For several years, together with my collaborators, I have been studying human perception, interaction, and analysis with micro visualizations in multiple contexts. In this document I bring together three of my research streams related to micro visualizations: data glyphs, where my joint research focused on studying the perception of small-multiple micro visualizations, word-scale visualizations, where my joint research focused on small visualizations embedded in text-documents, and small mobile data visualizations for smartwatches or fitness trackers. I consider these types of small visualizations together under the umbrella term ``micro visualizations.'' Micro visualizations are useful in multiple visualization contexts and I have been working towards a better understanding of the complexities involved in designing and using micro visualizations. Here, I define the term micro visualization, summarize my own and other past research and design guidelines and outline several design spaces for different types of micro visualizations based on some of the work I was involved in since my PhD.