Fig. 3

ISLET improves testing accuracy in cell-type-specific differentially expressed genes (csDEG) identification. A True discovery rate (TDR), receiver operating characteristic (ROC), sensitivity versus false discovery rate (FDR), and sensitivities at various effect sizes are shown from left to right. Results for one cell type, at sample size of N = 25 subjects per group with log fold change (LFC) = 0.5, are shown for the first three panels. Intended FDR level of 0.1 (vertical line) in the third panel. The fourth panel shows the averaged sensitivity across all cell types, at various LFCs. Benchmarked methods include CARseq, TOAST, TCA, DESeq2, and csSAM. B Displaying the same metrics as in A except sample size per group is N = 75. C Averaged AUC values across all cell types, at various combinations of sample sizes and LFCs. \(N=20\) simulations are conducted for each simulation scenario described above