VSN [16] and VST [12] are two variance-stabilizing methods used by the microarray community. These methods have been constructed based on a model for microarray gene expression measurement noise by Rocke and Durbin [22]. Their model is as follows: (1) Y=α+μeγ+ϵ where Y is the measured intensity value, α is the average intensity of unexpressed genes, μ is the noise-free intensity value, ϵ is the additive error term, and γ is the multiplicative error term. The error terms are assumed to be normally distributed and independent random variables with zero means. Durbin et al. [19] utilized this model to introduce a transformation for variance stabilization in microarray data.