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In the dispersion prior variance step, the expected variance of the log dispersion involves a function of (m - p), number of samples minus number of columns of model matrix. Compare to:
https://github.com/mikelove/DESeq2/blob/devel/R/core.R#L1182
I'm trying to align some of the parameters a bit.