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Fig. 3 | BMC Genomics

Fig. 3

From: deGPS is a powerful tool for detecting differential expression in RNA-sequencing studies

Fig. 3

Type 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 rate

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