Fig. 5

Example applications of splatPop simulations. Differential expression (DE) analysis: a The true positive rate (TPR: TP/(TP+FN)) and false discovery rate (FDR: FP/(TP+FP)) of DE genes (MAST q value < 0.05) between two conditional groups across a range of number of simulated cells per individual using 10x-IPF as a reference. b The relationship between simulated and MAST estimated DE effect sizes (delta) using 80 cells per individual for all genes colored by the DE analysis result (TP, FN, FP, TN). The Pearson’s correlation between simulated and estimated deltas for true positive (TP) genes is shown in blue. c The simulated gene mean and coefficient of variation (cv), eQTL effect size (beta, if applicable to that gene), and DE effect size (DE delta) for TP, FN, and FP DE genes using 80 cells per individual. d The performance of eQTL mapping (q value < 0.05) across a range of number of simulated cells per individual. e The relationship between simulated and estimated eQTL effect sizes (beta) for all genes colored by the eQTL mapping result (TP, FN, FP, TN). The Pearson’s correlation between simulated and estimated betas for TP genes is shown in blue. f The simulated gene mean and coefficient of variation, eQTL effect size (beta), and eSNP minor allele frequency (MAF) for TP, FN, and FP eGenes using 80 cells per individual. Statistical significance is reported for t tests testing for difference between TP and FN or FP categories (ns: p > 0.05, *: p <= 0.05, **: p <=, 0.01, ***: p <= 0.001, ****: p <= 0.0001)