Publications

• • Joint scientific articles

    • Hughes A, Parast L, Thiébaut R & Hejblum BP, Rank-Based Identification of High-dimensional Surrogate Markers: Application to Vaccinology, arXiv 2502.03030, 2025. arXiv 2502.03030

    • Hivert B, Agniel D, Thiébaut R & Hejblum BP, Running in circles: Is practical application feasible for data fission and data thinning in post-clustering differential analysis? arXiv 2405.13591, 2024. arXiv 2405.13591.

    • Hivert B, Agniel D, Thiébaut R & Hejblum BP, Post-clustering difference testing: valid inference and practical considerations, Computational Statistics & Data Analysis 107916, 2024. DOI: 10.1016/j.csda.2023.107916 arxiv:2210.13172

    • Hejblum BP, Ba K, Thiébaut R, Agniel D. Neglecting normalization impact in semi-synthetic RNA-seq data simulation generates artificial false positives. Genome Biology 25:281, 2024. DOI: 10.1186/s13059-024-03231-9

    • Agniel D, Hejblum BP, Thiébaut R & Parast L, Doubly-robust evaluation of high-dimensional surrogate markers, Biostatistics, 24(4): 985-999, 2023. DOI: 10.1093/biostatistics/kxac020  arxiv:2012.01236

    • Gauthier M, Agniel D, Thiébaut R & Hejblum BP, Distribution-free complex hypothesis testing for single-cell RNA-seq differential expression analysis. bioRxiv 2021.05.21.445165, 2021.

    • Gauthier M, Agniel D, Thiébaut R & Hejblum BP, 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, 2020. DOI: 10.1093/nargab/lqaa093

    • Agniel D & Hejblum BP, Variance component score test for time-course gene set analysis of longitudinal RNA-seq data, Biostatistics, 18(4):589–604, 2017. DOI: 10.1093/biostatistics/kxx005

You can find the list of the publications from the DESTRIER associate team on Hal here 👉 🌐