vitessce-python
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Use More Dynamic Gene Loading
I made a few small fixes and also updated examples where possible to be a bit more efficient with the dynamic gene loading.
- Add intermediate path creation because
pandasdoes not by default - Make the
combatdata sparse csc which vitessce can load quickly - Upgrade
anndata - Use dense visium
Xmatrix chunked efficiently with filtered heatmap (instead of filtered dense matrix loaded all at once) - Use sparse matrices for
kuppeas incombat - Same for
marshallandmeta-azimuth