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ORCIDSandrine Dudoit
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Journal Articles
- 2024
[j14]Hector Roux de Bézieux, Kelly Street, Stephan Fischer, Koen Van den Berge, Rebecca Chance, Davide Risso, Jesse A. Gillis, John Ngai, Elizabeth Purdom, Sandrine Dudoit:
Improving replicability in single-cell RNA-Seq cell type discovery with Dune. BMC Bioinform. 25(1): 198 (2024)- 2023
- [j13]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
- [j12]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
- [j11]Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit:
Exploring high-dimensional biological data with sparse contrastive principal component analysis. Bioinform. 36(11): 3422-3430 (2020) - [j10]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) - 2019
- [j9]Courtney Schiffman, Lauren Petrick, Kelsi Perttula, Yukiko Yano, Henrik Carlsson, Todd Whitehead, Catherine Metayer, Josie Hayes, Stephen M. Rappaport, Sandrine Dudoit:
Filtering procedures for untargeted LC-MS metabolomics data. BMC Bioinform. 20(1): 334:1-334:10 (2019) - 2018
- [j8]Davide Risso, Liam Purvis, Russell B. Fletcher, Diya Das, John Ngai, Sandrine Dudoit, Elizabeth Purdom:
clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets. PLoS Comput. Biol. 14(9) (2018) - 2011
- [j7]Davide Risso, Katja Schwartz, Gavin Sherlock, Sandrine Dudoit:
GC-Content Normalization for RNA-Seq Data. BMC Bioinform. 12: 480 (2011) - 2010
- [j6]James H. Bullard, Elizabeth Purdom, Kasper D. Hansen, Sandrine Dudoit:
Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. BMC Bioinform. 11: 94 (2010) - 2009
- [j5]Steffen Durinck, James H. Bullard, Paul T. Spellman, Sandrine Dudoit:
GenomeGraphs: integrated genomic data visualization with R. BMC Bioinform. 10 (2009) - 2008
- [j4]David Shilane, Jarno Martikainen, Sandrine Dudoit, Seppo J. Ovaska:
A general framework for statistical performance comparison of evolutionary computation algorithms. Inf. Sci. 178(14): 2870-2879 (2008) - 2006
- [j3]Sündüz Keles, Mark J. van der Laan, Sandrine Dudoit, Simon E. Cawley:
Multiple Testing Methods For ChIP - Chip High Density Oligonucleotide Array Data. J. Comput. Biol. 13(3): 579-613 (2006) - 2003
- [j2]Sandrine Dudoit, Jane Fridlyand:
Bagging to Improve the Accuracy of A Clustering Procedure. Bioinform. 19(9): 1090-1099 (2003) - [j1]Sandrine Dudoit, Mark J. van der Laan, Sündüz Keles, Annette M. Molinaro, Sandra E. Sinisi, Siew Leng Teng:
Loss-based estimation with cross-validation: applications to microarray data analysis. SIGKDD Explor. 5(2): 56-68 (2003)
Conference and Workshop Papers
- 2006
- [c1]David Shilane, Jarno Martikainen, Sandrine Dudoit, Seppo J. Ovaska:
A General Framework for Statistical Performance Comparison of Evolutionary Computation Algorithms. Artificial Intelligence and Applications 2006: 7-12
Coauthor Index
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