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Add mixed models to Milo differential abundance testing
- #1069
#1069
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Zethson
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Aug 6, 2026
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Add mixed models to Milo differential abundance testing
#1069
Zethson
merged 13 commits into
main
scverse/pertpy:main
from
feat/milo-glmm
scverse/pertpy:feat/milo-glmm
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Commits on Aug 6, 2026
Add mixed models to Milo differential abundance testing
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Calibrate the mixed model p-values and speed up the fit
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Reuse the random effect products and warm start the dispersion refit
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Correct the dispersion for the degrees of freedom the random effects spend
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Replace the results of a previous da_nhoods run instead of merging them
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Build the mixed model design with formulaic-contrasts and support contrasts
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Subset the design frame once so a sample subset reaches every solver
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Cover separated neighbourhoods reaching the results table
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Estimate the dispersion by adjusted profile likelihood
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Let the effect of a variable vary between groups
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Point at da_nhoods when de_nhoods is given a random effect
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Drop random slopes from this pull request
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Bump tutorials submodule for the mixed model section
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