Pierre Neuvial

cit_gsa is a single-cell RNA-seq gene set analysis method that allows covariate adjustment and handles multiple conditions, showing improved performance in complex scenarios.

The paper reanalyzes data from Rosenberg et al. to show that codon usage has no significant effect on dihedral angles in protein structures.

WASCO compares conformational ensembles of intrinsically disordered proteins using a Wasserstein-based statistical metric to detect residue-level differences.

The paper introduces adaptive interpolation-based post hoc methods for differential expression studies to provide stronger statistical guarantees on false discoveries.

The paper introduces a software tool for analyzing and visualizing multimodal single-cell RNA-seq datasets, demonstrating its use on a CITE-seq dataset of PBMCs.