Marie Perrot
Marie Perrot
Verified email at agroparistech.fr
TitleCited byYear
Variable selection in multivariate linear models with high-dimensional covariance matrix estimation
M Perrot-Dockès, C Lévy-Leduc, L Sansonnet, J Chiquet
Journal of Multivariate Analysis 166, 78-97, 2018
82018
A multivariate variable selection approach for analyzing LC-MS metabolomics data
M Perrot-Dockès, C Lévy-Leduc, J Chiquet, L Sansonnet, M Brégere, ...
arXiv preprint arXiv:1704.00076, 2017
52017
A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication
M Grandclaudon, M Perrot-Dockès, C Trichot, O Mostafa-Abouzid, ...
Available at SSRN 3353217, 2019
12019
A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data
M Perrot-Dockès, C Lévy-Leduc, J Chiquet, L Sansonnet, M Brégère, ...
Statistical applications in genetics and molecular biology 17 (5), 2018
12018
A multivariate Th17 metagene for prognostic stratification in T cell non-inflamed triple negative breast cancer
L Faucheux, M Grandclaudon, M Perrot-Dockès, P Sirven, F Berger, ...
OncoImmunology, 1-13, 2019
2019
Multivariate statistical modelling for QTL detection and marker selection in a bi-parental grapevine population
C Brault, M Perrot-Dockès, A Doligez, J Chiquet, L Le Cunff, T Flutre
2018
Estimation of large block structured covariance matrices: Application to" multi-omic" approaches to study seed quality
M Perrot-Dockès, C Lévy-Leduc, L Rajjou
arXiv preprint arXiv:1806.10093, 2018
2018
Variable selection in multivariate linear models taking into account the dependence
M Perrot-Dockès, C Lévy-Leduc, J Chiquet, L Sansonnet
Sélection de variables dans le modele linéaire multivarié en grande dimension avec prise en compte de la dépendance
M Perrot-Dockes, C Lévy-Leduc, J Chiquet, L Sansonnet
Méthode de sélection de variables dans le modèle linéaire multivarié avec prise en compte de la dépendance
M Perrot-Dockès, C Lévy-Leduc, J Chiquet, L Sansonnet
Modele linéaire multivarié parcimonieux avec estimation de covariance: une applicationa des données de métabolomique
M Perrot-Dockes, C Lévy-Leduc, J Chiquet, L Sansonnet
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Articles 1–11