Eljas Roellin
Eljas Roellin
Joining on the "smart subsample" part which we talked about a few months ago. The under/oversampling methods of [imbalanced-learn](https://imbalanced-learn.org/stable/index.html) was something we chatted about back then I remember. I opened...
Indeed scanpy 1.9.6 required `seaborn!=0.13.0`, while newer releases have been update to require `seaborn>=0.13.0` (when you look here on GitHub, you will find this updated requirement as you mentioned) If...
Indeed, ~3-7x faster for me & of course quite a bit more memory efficient (quickly checked with scalene). Tests keep working (for `seurat_v3`/`seurat_v3_paper` somewhat tight numeric comparison with Seurat results),...
Hey, thanks a lot for spotting & the nice reproducible example! Big help. From my first look into it, it seems this is a bug indeed; **Bug appearing when** -...
Nice, thanks for the summary and binging this together here! > Ideally, we would get rid of the adata.var[EHRAPY_TYPE_KEY] annotation entirely and, if autodetect is set to True in the...
Btw do you have the reference for this quote above?
So a rough outline here would be - [ ] add this using most likely [the scipy implementation](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.ks_2samp.html): from the handling, it probably should feel similar to how e.g. Little's...
```py def ks_test(adata: AnnData, # call adata_1 instead? adata_imputed: AnnData, # call adata_2 instead? layer: str | None = None, # indicate layer for both, so adata_1_layer, adata_2_layer method: Literal["auto",...
> As a general thought: might be possible to harmonize the `Return` field a bit. What are your thoughts on this style? https://github.com/scverse/scanpy/issues/2741 Basically first a sentence prose, then within...
Will do - might take a bit (got quite some functions here 👍) & get back here with a PR :)