Lucas Etourneau

The paper identifies a 'double-dipping' issue in scRNA-Seq where cell-type clustering and phenotype testing are performed on the same data, leading to inflated false discovery rates, and proposes solutions to mitigate this problem.

The paper investigates the impact of post-selection inference in scRNA-Seq phenotype testing and proposes batch correction to mitigate false discovery rate inflation.

The paper introduces Pirat, a method for imputing missing values in proteomics data by modeling instrument limits and peptide correlations, showing improved performance over existing methods.

This paper introduces knockoff filters for FDR control in proteomic differential analysis, comparing them to traditional methods on real and simulated data.