Fig. 3From: deGPS is a powerful tool for detecting differential expression in RNA-sequencing studiesType I error and false discovery rate. Data were simulated from large-scale TCGA lung cancer sequencing studies, a miRNA and b mRNA. Two different types of data transformation, “shift” and “scaling & shift” were applied. Boxplots summarize type I error and false discovery rate of different statistical methods for DE detection under a wide range of simulations. Methods in red font are those do not have correct type I error and/or false discovery rateBack to article page