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Journal Articles
- 2024
[j5]James Duncan
, Tiffany M. Tang, Corrine F. Elliott, Philippe Boileau, Bin Yu:
simChef: High-quality data science simulations in R. J. Open Source Softw. 9(96): 6156 (2024)- 2023
- [j4]Philippe Boileau, Nima S. Hejazi, Mark J. van der Laan, Sandrine Dudoit:
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions. J. Comput. Graph. Stat. 32(2): 601-612 (2023) - 2021
- [j3]Philippe Boileau, Nima S. Hejazi, Brian Collica, Mark J. van der Laan, Sandrine Dudoit:
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R. J. Open Source Softw. 6(63): 3273 (2021) - 2020
- [j2]Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit:
Exploring high-dimensional biological data with sparse contrastive principal component analysis. Bioinform. 36(11): 3422-3430 (2020) - [j1]Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit:
scPCA: A toolbox for sparse contrastive principal component analysis in R. J. Open Source Softw. 5(46): 2079 (2020)
Informal and Other Publications
- 2022
- [i1]Philippe Boileau, Lisa Kakinami, Tracie Barnett, Mélanie Henderson, Lea Popovic:
Heatmaps and consensus clustering for ego network exploration. F1000Research 11: 771 (2022)
Coauthor Index
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