Exploring high-dimensional biological data with sparse contrastive principal component analysis. - Philippe Boileau; Nima S. Hejazi; Sandrine Dudoit (Bioinform., 2020)

scPCA: A toolbox for sparse contrastive principal component analysis in R. - Philippe Boileau; Nima S. Hejazi; Sandrine Dudoit (J. Open Source Softw., 2020)

cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R. - Philippe Boileau; Nima S. Hejazi; Brian Collica; Mark J. van der Laan; Sandrine Dudoit (J. Open Source Softw., 2021)

Heatmaps and consensus clustering for ego network exploration. - Philippe Boileau; Lisa Kakinami; Tracie Barnett; Mélanie Henderson; Lea Popovic (F1000Research, 2022)

Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions. - Philippe Boileau; Nima S. Hejazi; Mark J. van der Laan; Sandrine Dudoit (J. Comput. Graph. Stat., 2023)

simChef: High-quality data science simulations in R. - James Duncan 002; Tiffany M. Tang; Corrine F. Elliott; Philippe Boileau; Bin Yu 001 (J. Open Source Softw., 2024)