Publications

Maximilien Grandclaudon, Marie Perrot-Dockès, Coline Trichot, et al (2019). A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication. Cell.

Marie Perrot-Dockes (2019). Regularized methods to study multivariate data in high dimensional settings: theory and applications.. Université Paris Saclay/ AgroParisTech.

Lilith Faucheux, Maximilien Grandclaudon, Marie Perrot-Dockes, Philémon Sirven, F Berger, A S Hamy, V Fourchotte, Anne Vincent-Salomon, Fatima Mechta-Grigoriou, Fabien Reyal, Alix Scholer-Dahirel, Maude Guillot-Delost, Vassili Soumelis (2019). A multivariate Th17 metagene for prognostic stratification in T cell non-inflamed triple negative breast cancer. *Oncoimmunology *.

Marie Perrot-Dockès, Céline Lévy-Leduc (2018). Estimation of large block covariance matrices: Application to the analysis of gene expression data.

Marie Perrot-Dockes, Céline Lévy-Leduc, Laure Sansonnet, Julien Chiquet (2018). Variable selection in multivariate linear models with high-dimensional covariance matrix estimation. JMVA.

Marie Perrot-Dockes, Céline Lévy-Leduc, Julien Chiquet, Laure Sansonnet, Margaux Brégère, Marie-Pierre Etienne, Stéphane Robin (2018). A multivariate variable selection approach for analyzing LC-MS metabolomics data. In SAGMB.