Mylène Duval
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View article: Modelisation and estimation of heterogeneous variances in nonlinear mixed models
Modelisation and estimation of heterogeneous variances in nonlinear mixed models Open
Nonlinear mixed models stand apart in mixed models methodology. Contrary to linear and generalized linear models, often used as black boxes, the trajectory function t in nonlinear models generally comes from the integration of dierential e…
View article: Modélisation et estimation de variances hétérogènes dans les modèles non linéaires mixtes.
Modélisation et estimation de variances hétérogènes dans les modèles non linéaires mixtes. Open
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View article: Analysis of a simulated microarray dataset: Comparison of methods for data normalisation and detection of differential expression (Open Access publication)
Analysis of a simulated microarray dataset: Comparison of methods for data normalisation and detection of differential expression (Open Access publication) Open
View article: Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (Open Access publication)
Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (Open Access publication) Open
View article: Analysis of the real EADGENE data set: Multivariate approaches and post analysis (Open Access publication)
Analysis of the real EADGENE data set: Multivariate approaches and post analysis (Open Access publication) Open
View article: SAEM-MCMC: some criteria
SAEM-MCMC: some criteria Open
The SAEM-MCMC is a powerful algorithm used to estimate maximum likelihood in the wide class of exponential non-linear mixed effects models. The main problem of this method is that several parameters of simulation need to be calibrated. In …
View article: A procedure based on partial sums of order statistics to detect differentially expressed genes
A procedure based on partial sums of order statistics to detect differentially expressed genes Open
In this paper we propose a new procedure to select differentially expressed genes between several conditions in microarray experiments. Asymptotic properties for the false discovery rate are proved under mild conditions. We compare by simu…