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Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes
Normalization is critical for removing systematic variation from microarray data. For two-color microarray platforms, intensity-dependent lowess normalization is commonly used to correct relative gene expression values for biases. Here we outline a normalization method for use when the assumptions o
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