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...tly the background normalization is done. I read all three papers cited in the rma() documentation, but the most detailed explanation i could find was in Irizary et al., 2003, where they state that they compute B(PM_{ijn}) = E[s_{ijn} | PM_{ijn}] where s_{ijn} is assumed to be exponential, and bg_{ijn} is normal. I still don't understand what value is being computed here, neither am i clear on what the correction looks like. i.e. if s_{ijn} is an exponentially-distributed random variable, how is bg_{ijn} fit into this? thanks! [[alternative HTML version deleted]]

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