memento: Generalized differential expression analysis of single-cell RNA-seq with method of moments estimation and efficient resampling
Min Cheol Kim, Rachel E. Gate, David S. Lee, Andrew C. Lu, Erin D. Gordon, Eric Shifrut, Alexander Marson, Vasilis Ntranos, Chun Ye
The paper introduces memento, a method for differential expression analysis of scRNA-seq data, and shows it identifies significant differences in mean, variability, and gene correlation across experimental conditions.
bioRxiv · Nov 9, 2022 · PreprintBioinformatics