Fig. 5: Impact of log-fold change filtering on single-cell DA analysis.
From: Best practices for differential accessibility analysis in single-cell epigenomics
a Effect size (Cohen’s d) of increasingly stringent log-fold change filtering on the AUCC between single-cell and bulk ATAC-seq DA, relative to the removal of an equivalent number of peaks selected at random (n = 16 comparisons). Inset text shows the median Cohen’s d. b As in a but for the AUCC between the ATAC and RNA modalities of single-cell multi-omics data (n = 306 comparisons). c As in a but for the number of false discoveries in null comparisons of published scATAC-seq data (n = 21 comparisons).
