Figure 4
From: Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
A geometric transformation of microarray M-A plots in GPA normalization on the extreme boutique arrays. The SIMAGE method was used to simulate the boutique array data set, which includes 50 slides with 90% up-regulated genes at 10 fold and 10% down-regulated genes at 2 fold. Four slides represented by four colours (blue, red, pink, green) were randomly selected to show their M-A plots after each GPA transformation procedure.