Danila

This should be fixed by a5c8251558a79fbdec3b0c996a22f68aacc69f64. Please let me know if it works for you!

Hey @casblaauw, thank you for reporting the issues and digging deeper helping to resolve them! This seems to be related to PCA loadings indeed (attempted to be stored in `.varm`),...

Thanks for noticing and reporting that, @benemead! It's an easy fix, and it will be there with v0.3.

Thanks @leuschjanphilipp and @benemead, The fix will land in v0.3. Moreover, it now borrows `DictView` from `anndata` so it should come with improved behaviour when trying to modify `.uns` of...

Thank you, @racng, for the detailed use case description! Ideally we would stay close to the `anndata`'s implementation of the backed mode but the interface for what you describe was...

Thanks a lot, @mumichae! The main issue here is actually ignoring the `mod-order` attribute in `read_zarr`. The proper fix will be coming with v0.3. --- More clarifications: > although I...

Closing as resolved in v0.3.

@sruthi-hub Hey, if this question is still relevant, could you elaborate on what the _false peak distribution_ actually means? If this is about peak properties, they can be quantified and...

Hey @ChaseTaylor939, Concatenation is performed [as described](https://anndata.readthedocs.io/en/latest/concatenation.html) with inner join (for features) by default: ```py mod1 = AnnData(np.random.normal(size=(10,5))) mod2 = AnnData(np.random.normal(size=(10,3))) mod2.var_names # Index(['0', '1', '2'], dtype='object') anndata.concat([mod1, mod2]).shape #...

Scheduled for mudata v0.3, which is in progress (https://github.com/scverse/mudata/pull/56), @lijxug! Just to make it clear, this is about concatenation as in `anndata.concat`, which is not aware of genomic intervals, etc.