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. Transformation and model choice for RNA-seq co-expression analysis. Briefings in Bioinformatics, 19(3): 425-436, 2018.

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. Identification of marginal causal relationships in gene networks from observational and interventional expression data. PLoS One, 12(3): e0171142, 2017.

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. Synthetic datasets for the identification of key ingredients for RNA-seq differential analysis. Briefings in Bioinformatics, doi:, 2016.


. A model selection criterion for model-based clustering of annotated gene expression data. Statistical Applications in Genetics and Molecular Biology, 14(5): 413-428., 2015.

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. Initiation a la statistique bayesienne - Bases theoriques et applications en alimentation, environnement, epidemiologie et genetique. Éditions Ellipses, collection références sciences., 2015.

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. Estimation d'effets causaux dans les reseaux de regulation genique : vers la grande dimension. Revue d’intelligence artificielle, 29(2): 205-227, 2015.

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. Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. Bioinformatics, 31(9): 1420-1427, 2015.

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. Reverse engineering gene regulatory networks using approximate Bayesian computation. Statistics and Computing, 22: 1257-1271, 2012.

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. An empirical Bayesian method for estimating biological networks from temporal microarray data. Statistical Applications in Genetics and Molecular Biology, Vol 9: Iss. 1, Article 9, 2010.

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