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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies

Fig. 1

Sensitivity and area under ROC curve of the random-effects models with Dersimonian-Laird (DSL), two-step (DSLR2), and Bayesian random-effects models (BRE) with uniform(0,1) and gamma(1,2) priors for between-study variance under the HSC hypothesis testing. H0, H1, H2, and H3 are the number of {0, 1, 2, and 3} studies containing heterogeneous genes. H0 represents homogenous data. The number of truly DE genes in the simulated data was 120 genes

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