Denis M. Agniel

The paper identifies an issue in RNA-seq data simulation where normalization neglect leads to false positives and provides corrected results showing dearseq's performance.

This paper introduces a distribution-free method for scRNA-seq differential expression analysis that handles complex hypotheses and multiple conditions, showing good performance in simulations and a real dataset.

dearseq is a differential expression analysis method that controls the false discovery rate without assuming data distribution, showing improved performance over existing methods in simulations and real data.