Selected Publications

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(2026). Self-Collected Finger-Prick Blood for Gene Expression Profiling: Unveiling Early Immune Responses in Mild COVID-19. iScience, 29(2):114593.

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(2025). RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology. Stat. Med., 44(20-22): e70241.

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(2024). Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast. 41st ICML, PMLR 235:13570-13591.

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(2024). Running in circles: practical limitations for real-life application of data fission and data thinning in post-clustering differential analysis. arXiv 2405.13591.

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(2024). Post-clustering difference testing: valid inference and practical considerations. Computational Statistics & Data Analysis, 107916.

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(2023). Doubly-robust evaluation of high-dimensional surrogate markers. Biostatistics, 24(4):985-999.

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(2023). CytOpT: Optimal Transport with Domain Adaptation for Interpreting Flow Cytometry data. Annals of Applied Statistics, 17(2):1086-1104.

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(2020). dearseq: a variance component score test for RNA-Seq differential analysis that effectively controls the false discovery rate. NAR Genomics and Bioinformatics, 2(4):lqaa093.

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(2020). Realistic and Robust Reproducible Research for Biostatistics. Preprints 2020060002.

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(2020). Analyzing cellular immunogenicity in vaccine clinical trials: a new statistical method including non-specific responses for accurate estimation of vaccine effect. JIM, 477:112711.

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(2019). Vers une recherche reproductible : Faire évoluer ses pratiques. Bordeaux : Urfist de Bordeaux. ISBN : 979-10-97595-05-0.

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(2019). Sequential Dirichlet process mixture of skew t-distributions for model-based clustering of flow cytometry data. Ann. Appl. Stat., 13(1):638-660.

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(2017). Variance component score test for time-course gene set analysis of longitudinal RNA-seq data. Biostatistics, 18(4):589–604.

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(2015). Time-Course Gene Set Analysis for Longitudinal Gene Expression Data. PLoS Comput Biol, 11(6):e1004310.

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Other recent publications

More Publications

(2026). Representation learning to advance multi-institutional studies with electronic health record data from US and France. Nature Communications, in press.

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(2025). On the potential benefits of entropic regularization for smoothing Wasserstein estimators. Electron. J. Stat., 19(2):3867–3894.

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(2025). Reservoir Computing in R: a Tutorial for Using reservoirnet to Predict Complex Time-Series. Computo.

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