The microarray technique has been a major platform to measure whole-genome expression profiles.The measurement of gene expressions requires normalization, and possibly summarization depending on the specific implimentation.We formulate normalization as a blind inversion problem conditional on a reference.Different distributional assumptions lead to different versions of quantile or regression normalization.The reference effect can be adjusted in the summarization.