Figure 3
From: β-empirical Bayes inference and model diagnosis of microarray data
Posterior probabilities estimated by EB and β -EB for the head and neck cancer data. (a) Scatter plot of the posterior probabilities (pp.) estimated by the proposed β-EB approach and by the classical EB-LNN approach. The red “+” marks represent outliers with β-weights for which the p-values < 10−5. The blue “o” marks the outliers that were identified as DE by the β-EB approach (pp.>0.95) and as EE by the original EB approach (pp.<0.5). (b) Expression levels of the six genes (marked by the blue “o” in (a)) that were identified as DE by the β-EB approach and as EE by the EB approach. The log-transformed expressions are plotted below the lines for the tumor tissues and above the lines for the normal tissues. Outliers with low β-weights are indicated in red.