MAINT reduce the number of arguments in _fit_rough_dispersions
#166
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What does your PR implement? Be specific.
This PR is a minor refactoring of
DeseqDataSet._fit_rough_dispersions()
.Currently, this method takes both
counts
andsize_factors
as arguments, only to compute normalized factors ascounts / size_factors[:, None]
.We now provide
normed_counts
directly, which are already stored inself.layers["normed_counts"]
when_fit_rough_dispersions()
is called in the pydeseq2 pipeline.Likewise, we provide
normed_counts
instead ofcounts
in_fit_moments_dispersions()
to avoid performing the division again.