Author

Pierre Neuvial

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Open access Oct 2026

cit_gsa: gene set analysis for scRNA-seq with covariate adjustment

Summary Single-cell RNA-seq enables gene expression analysis at single-cell resolution. Differential Expression Analysis (DEA) performed at the gene set level for better power and interpretation, identifies gene sets associated with a factor of interest. Existing single-cell DEA methods rely on two-step approaches, a g...

Sara Fallet, V. Godot, Pierre Neuvial et al. · bioRxiv · 0 citations

Open access Aug 2026

hicream: A flexible framework to identify significantly different regions in Hi-C data

Abstract Motivation The three-dimensional (3D) organization of the genome plays a central role in many biological processes, and its disruption can critically impair cellular function. Detecting such changes is therefore crucial and can be achieved through differential analysis of Hi-C data. By comparing Hi-C data acro...

E. Jorge, T. Hocking, Pierre Neuvial et al. · Bioinformatics · 0 citations