Sandrine Dudoit, PhD
Affiliations: | Statistics | University of California, Berkeley, Berkeley, CA, United States |
Area:
Statistical methods, Genomics, R,Website:
http://www.stat.berkeley.edu/~sandrine/Google:
"Sandrine Dudoit"Cross-listing: MathTree
Children
Sign in to add traineeKatherine S. Pollard | grad student | 1998-2003 | UC Berkeley |
Yan Wang | grad student | 2006 | UC Berkeley |
David A. Shilane | grad student | 2008 | UC Berkeley |
James H. Bullard | grad student | 2009 | UC Berkeley |
Houston N. Gilbert | grad student | 2009 | UC Berkeley |
Kasper D. Hansen | grad student | 2009 | UC Berkeley |
Thomas J. Sharpton | grad student | 2004-2009 | UC Berkeley |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Boileau P, Hejazi NS, van der Laan MJ, et al. (2022) Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 32: 601-612 |
Boileau P, Qi NT, van der Laan MJ, et al. (2022) A flexible approach for predictive biomarker discovery. Biostatistics (Oxford, England) |
Boileau P, Hejazi NS, Dudoit S. (2020) Exploring High-Dimensional Biological Data with Sparse Contrastive Principal Component Analysis. Bioinformatics (Oxford, England) |
Van den Berge K, Roux de Bézieux H, Street K, et al. (2020) Trajectory-based differential expression analysis for single-cell sequencing data. Nature Communications. 11: 1201 |
Cole MB, Risso D, Wagner A, et al. (2019) Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq. Cell Systems. 8: 315-328.e8 |
Risso D, Perraudeau F, Gribkova S, et al. (2019) Publisher Correction: A general and flexible method for signal extraction from single-cell RNA-seq data. Nature Communications. 10: 646 |
Van den Berge K, Perraudeau F, Soneson C, et al. (2018) Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications. Genome Biology. 19: 24 |
Risso D, Perraudeau F, Gribkova S, et al. (2018) A general and flexible method for signal extraction from single-cell RNA-seq data. Nature Communications. 9: 284 |
Perraudeau F, Risso D, Street K, et al. (2017) Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference. F1000research. 6: 1158 |
Vallejos CA, Risso D, Scialdone A, et al. (2017) Normalizing single-cell RNA sequencing data: challenges and opportunities. Nature Methods |