Devising computational methods to accurately reconstruct gene regulatory networks given
gene expression data is key to systems biology applications. Here we propose a method for …

Background In biomedical research, network inference algorithms are typically used to infer
complex association patterns between biological entities, such as between genes or …

The integration of genetic information in the cellular and nuclear environments is crucial for
deciphering the way in which the genome functions under different physiological conditions …

The goal of the gene regulatory network (GRN) inference is to determine the interactions
between genes given heterogeneous data capturing spatiotemporal gene expression. Since …

This document is organized around three chapters. that summarize my research activity
since 2008, that is, after my PhD thesis. The first chapter provides motivations for my …

We consider a novel problem, bi-level graphical modeling, in which multiple individual
graphical models can be considered as variants of a common group-level graphical model …

Les avancées des nouvelles technologies de séquençage ont permis aux études cliniques
de produire des données volumineuses et complexes. Cette complexité se décline selon …

Results Data selection. The 44,368 probes from the expression dataset of the muscle
transcriptome study from Voillet et al. 21 were found to correspond to 13,855 unique …

My main background is in applied mathematics: I graduated from the Université de
Technologie de Compiègne in 2003. There, I obtained a degree in computer engineering …