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Sandrine Dudoit

Guidance on individualized Treatment Rule estimation in high dimensions
A nonparametric framework for treatment effect modifier discovery in high dimensions
Cross-validated loss-based covariance matrix estimator selection in high dimensions
A flexible approach for predictive biomarker discovery
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R
Exploring High-Dimensional Biological Data with Sparse Contrastive Principal Component Analysis
scPCA: A toolbox for sparse contrastive principal component analysis in R

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