Figure 1
From: β-empirical Bayes inference and model diagnosis of microarray data
β -weights can diagnose a misspecified model. (a) Scatter plot of log(aa) versus β-weight. Many of the genes with a shape parameter (aa) less than 1 have small β− weights. (b) The true distribution of gamma for different values of the shape parameter when the value of scale parameter is one. (c) The log-transformed expressions based on genes between weight < 0.53 and log(aa) < -1 in (a) are plotted below the lines for group 2 tissues and above the lines for group 1 tissues. The genes with low β− weights were shown to have heavy lower tails. (d) The log-transformed expressions based on genes between weight ≥ 0.6 and log(aa) < -1 in (a) are plotted below the lines for group 2 tissues and above the lines for group 1 tissues. The log-transformed expression profiles of these genes were shown to be similar to the normal distribution.