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Refactor eigdecomp phasing and sorting #397

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@nvictus nvictus commented Oct 17, 2022

Some work to modularize various sub-operations in eigdecomp.

  • Decouple target matrix preparation from decomposition. Might make it easier to provide different target matrix options (e.g. balanced vs unbalanced O/E, mean-centered vs 1-centered, fake-cis vs other approach).

  • Decouple deterministic sign flipping (providing phasing_track) and reordering/sorting (reorder=True). Both options will make use of corr_metric if activated, which defaults to pearsonr.

@@ -171,7 +171,6 @@ def eigs_cis(
clr_weight_name=clr_weight_name,
ignore_diags=ignore_diags,
clip_percentile=99.9,
sort_metric=None,
)
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is this desired? this issue suggests to expose sort_metric #311

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I removed it to be replaced with corr_metric (used for both flipping and reordering) and reorder instead.

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aha, gotcha-- thoughts on phasing_metric or phasing_corr_metric to help remind the user what this is for?


# Go through eigendecomposition results and fill in output tables.
for _region, _eigvals, _eigvecs in results:
idx = bioframe.select(eigvec_table, _region).index
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isn't there a duplication?

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  • imho it'd be nice to align cis and trans function a bit - to minimize confusion
  • cli argument regarding sorting/phasing needs to be sorted out

other than that seems to be a useful refactoring !

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# Go through eigendecomposition results and fill in output tables.
for _region, _eigvals, _eigvecs in results:
idx = bioframe.select(eigvec_table, _region).index

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sergpolly added a commit to sergpolly/cooltools that referenced this pull request Nov 24, 2023
few tweaks and reorderings in eigdecomp to address my comments in open2c#397
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submitted suggested changes nvictus#2

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4 participants