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- Céline Lévy-Leduc, Maud Delattre, Tristan Mary-Huard, Stéphane Robin
- Bioinformatics
- 2014

MOTIVATION
The spatial conformation of the chromosome has a deep influence on gene regulation and expression. Hi-C technology allows the evaluation of the spatial proximity between any pair of loci along the genome. It results in a data matrix where blocks corresponding to (self-)interacting regions appear. The delimitation of such blocks is critical to… (More)

The Bayesian Information Criterion (BIC) is widely used for variable selection in mixed effects models. However, its expression is unclear in typical situations of mixed effects models, where simple definition of the sample size is not meaningful. We derive an appropriate BIC expression that is consistent with the random effect structure of the mixed… (More)

We consider N independent stochastic processes (Xi(t), t ∈ [0, Ti]), i = 1, . . . , N , defined by a stochastic differential equation with drift term depending on a random variable φi. The distribution of the random effect φi depends on unknown parameters which are to be estimated from the continuous observation of the processes Xi. We give the expression… (More)

- Maud Delattre, Radojka M. Savic, Raymond Miller, Mats O. Karlsson, Marc Lavielle
- Journal of Pharmacokinetics and Pharmacodynamics
- 2012

We propose to describe exposure–response relationship of an antiepileptic agent, using mixed hidden Markov modeling methodology, to reveal additional insights in the mode of the drug action which the novel approach offers. Daily seizure frequency data from six clinical studies including patients who received gabapentin were available for the analysis. In… (More)

- Maud Delattre, Marc Lavielle
- Computational Statistics & Data Analysis
- 2012

We consider N independent stochastic processes (Xi(t), t ∈ [0, T ]), i = 1, . . . , N , defined by a stochastic differential equation with diffusion coefficients depending linearly on a random variable φi. The distribution of the random effect φi depends on unknown population parameters which are to be estimated from a discrete observation of the processes… (More)

Abstract We consider N independent stochastic processes (Xi(t), t ∈ [0, Ti]), i = 1, . . . , N , defined by a stochastic differential equation with drift term depending on a random variable φi. The distribution of the random effect φi is a Gaussian mixture distribution, depending on unknown parameters which are to be estimated from the continuous… (More)

— The aim of the present paper is to document the need for adapting the definition of hidden Markov models (HMM) to population studies, which rigorous interpretation typically requires the use of mixed-effects models, as well as for corresponding learning methodologies. In this article, mixed hidden Markov models (MHMM) are introduced through a brief state… (More)

- Marie Cécile Faure, Jean-Claude Sulpice, +7 authors Sophie Dupré-Crochet
- Biology of the cell
- 2013

BACKGROUND INFORMATION
During phagocytosis, neutrophils internalise pathogens in a phagosome and produce reactive oxygen species (ROS) by the NADPH oxidase to kill the pathogen. The cytosolic NADPH oxidase subunits p40(phox), p47(phox), p67(phox) and Rac2 translocate to the phagosomal membrane to participate in enzyme activation. The kinetics of this… (More)