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Figure 1 | BMC Bioinformatics

Figure 1

From: The impact of quantile and rank normalization procedures on the testing power of gene differential expression analysis

Figure 1

Empirical density estimates of the t -statistics before and after quantile normalization. Empirical density estimates of the t-statistics before and after quantile normalization. Gene expression are simulated by using normal random numbers with standard deviation 0.35 and gene-gene correlation 0.9. Total number of genes is m = 1000. Total numbers of truly differentially expressed genes are m 1 + =60 for up-regulated genes and m1- = 40 for down-regulated genes. The sample size is n = 10 and the true effect size is e+ = -e- = e = {0,2,4}. Estimates are based on 200 repetitions.

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