Closed GeorgWa closed 11 months ago
dist = dist / dist.sum()
in https://github.com/MannLabs/alphabase/blob/main/alphabase/peptide/precursor.py#L587
I think it is better to do mono-level normalization
dist = dist / dist[mono]
Then it is easier to track the mono index, I guess it does not affect AlphaDIA search.
And add mono_idx to precursor_df
precursor_df["mono_isotope_idx"] = mono_idx
I will quickly fixed this and you can review.
I'm using the isotope distribution a lot to calculate weighted means. Fore me the more natural way would be therefore:
dist = dist[mono:]
dist = dist / dist.sum()
Should I do this on the side of alphaDIA or should we do this with a switch in AB?
normalize: typing.Literal['mono','sum']`,
crop_below_mono: bool = False
I'm fine with both
In certain cases the array returned from
dist, mono = isotope_dist.calc_formula_distribution()
will start before the monoisotopic mass. In these cases, it needs to betrimmed or tracked.alphabase.peptide.precursor.calc_precursor_isotope_intensity()
needs to be adapted to handle this case.