amounts and types of such variations are observed in different arrays. Although various normalization methods have been … for different arrays and data sets. To address this issue, we present a novel normalization technique, STEPNORM, for data …-dependent and adaptive normalization of two-channel spotted microarrays. STEPNORM performs a stepwise interrogation of a range of …

for the normalization of two-color spotted microarrays for various sources of variation including printtip variation …. Normalization with linear mixed models provides a parametric model of which results compare favorably to intensity dependent … normalization LOWESS methods. We illustrate the use of this technique on two datasets. The first dataset contains 24 arrays, each …

Normalization is an important step in the analysis of microarray data of transcription profiles as systematic non … normalization often assume that there are few or symmetric differential expression, but this assumption does not always hold …. Alternatively, non-differentially expressed genes may be used for array normalization. However, it is unknown at the outset which …