Bagging to Improve the Accuracy of A Clustering Procedure. - Sandrine Dudoit; Jane Fridlyand (Bioinform., 2003)

Loss-based estimation with cross-validation: applications to microarray data analysis. - Sandrine Dudoit; Mark J. van der Laan; Sündüz Keles; Annette M. Molinaro; Sandra E. Sinisi; Siew Leng Teng (SIGKDD Explor., 2003)

Multiple Testing Methods For ChIP - Chip High Density Oligonucleotide Array Data. - Sündüz Keles; Mark J. van der Laan; Sandrine Dudoit; Simon E. Cawley (J. Comput. Biol., 2006)

A general framework for statistical performance comparison of evolutionary computation algorithms. - David Shilane; Jarno Martikainen; Sandrine Dudoit; Seppo J. Ovaska (Inf. Sci., 2008)

GenomeGraphs: integrated genomic data visualization with R. - Steffen Durinck; James H. Bullard; Paul T. Spellman; Sandrine Dudoit (BMC Bioinform., 2009)

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. - James H. Bullard; Elizabeth Purdom; Kasper D. Hansen; Sandrine Dudoit (BMC Bioinform., 2010)

GC-Content Normalization for RNA-Seq Data. - Davide Risso; Katja Schwartz; Gavin Sherlock; Sandrine Dudoit (BMC Bioinform., 2011)

clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets. - Davide Risso; Liam Purvis; Russell B. Fletcher; Diya Das; John Ngai; Sandrine Dudoit; Elizabeth Purdom (PLoS Comput. Biol., 2018)

Filtering procedures for untargeted LC-MS metabolomics data. - Courtney Schiffman; Lauren Petrick; Kelsi Perttula; Yukiko Yano; Henrik Carlsson; Todd Whitehead; Catherine Metayer; Josie Hayes; Stephen M. Rappaport; Sandrine Dudoit (BMC Bioinform., 2019)

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)

CALDERA: finding all significant de Bruijn subgraphs for bacterial GWAS. - Hector Roux de Bézieux; Leandro Lima; Fanny Perraudeau; Arnaud Mary; Sandrine Dudoit; Laurent Jacob (Bioinform., 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)

Improving replicability in single-cell RNA-Seq cell type discovery with Dune. - 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 (BMC Bioinform., 2024)