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: Evolution Tree
Children
Sign in to add trainee| Katherine S. Pollard | grad student | 1998-2003 | UC Berkeley (Evolution Tree) |
| Yan Wang | grad student | 2006 | UC Berkeley (Evolution Tree) |
| David A. Shilane | grad student | 2008 | UC Berkeley (Evolution Tree) |
| James H. Bullard | grad student | 2009 | UC Berkeley (Evolution Tree) |
| Houston N. Gilbert | grad student | 2009 | UC Berkeley (Evolution Tree) |
| Kasper D. Hansen | grad student | 2009 | UC Berkeley (Evolution Tree) |
| Thomas J. Sharpton | grad student | 2004-2009 | UC Berkeley (Evolution Tree) |
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Publications
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| 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 |