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Let Y be a Gaussian vector whose components are independent with a common unknown variance. We consider the problem of estimating the mean µ of Y by model selection. More precisely, we start with a collection S = {Sm, m ∈ M} of linear subspaces of R n and associate to each of these the least-squares estimator of µ on Sm. Then, we use a data driven penalized(More)
This paper explores the dynamics of attitude change in 2 dimensions (2D) as a result of social interaction. We add a rejection mechanism into the 2D bounded confidence (BC) model proposed by Deffuant et al (2001). Individuals are characterised by two-dimensional continuous attitudes, each associated with an uncertainty u, supposed constant in this first(More)
Applications on inference of biological networks have raised a strong interest in the problem of graph estimation in high-dimensional Gaussian graphical models. To handle this problem, we propose a two-stage procedure which first builds a family of candidate graphs from the data, and then selects one graph among this family according to a dedicated(More)
Precise control of chromosome pairing is vital for conferring meiotic, and hence reproductive, stability in sexually reproducing polyploids. Apart from the Ph1 locus of wheat that suppresses homeologous pairing, little is known about the activity of genes that contribute to the cytological diploidization of allopolyploids. In oilseed rape (Brassica napus)(More)
Let Y be a Gaussian vector whose components are independent with a common unknown variance. We consider the problem of estimating the mean µ of Y by model selection. More precisely, we start with a collection S = {Sm, m ∈ M} of linear subspaces of R n and associate to each of these the least-squares estimator of µ on Sm. Then, we use a data driven penalized(More)
Proteomics relies on the separation of complex protein mixtures using bidimensional electrophoresis. This approach is largely used to detect the expression variations of proteins prepared from two or more samples. Recently, attention was drawn on the reliability of the results published in literature. Among the critical points identified were experimental(More)
Cylindrospermopsin (CYN), a cyanobacterial hepatotoxin mainly produced by Cylindrospermopsis raciborskii, has been involved in human intoxications and livestock deaths. The widespread occurrence of CYN in the water supplies lead us to investigate its genotoxicity to assess potential chronic effects. This study reports evaluation of CYN-induced in vivo DNA(More)
The alkaline single cell gel electrophoresis (comet) assay was used to assess in vitro and in vivo genotoxicity of etoposide, a topoisomerase II inhibitor known to induce DNA strand breaks, and chlorothalonil, a fungicide widely used in agriculture. For in vivo studies, rats were sacrificed at various times after treatment and the induction of DNA strand(More)
The study of the interactions of cellular components is an essential base step to understand the structure and dynamics of biological networks. Various methods were recently developed for this purpose. While most of them combine different types of data and a priori knowledge, methods based on graphical Gaussian models are capable of learning the network(More)