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I would like to refactor a bit how AnnData objects are created and handled
instead of having a separate AnnData object after each step, I'd just go for two: one which has low quality spots removed and one that doesn't. Raw counts and normalized values can be stored in a single object using adata.layers.
rely on scanpy or squidpy to read visium data (@fasterius, what was again the motivation to have a custom python script for that in the first place?)
merge all objects into a single AnnData object at the end, with optional export to a SpatialData object (Add SpatialData as output #39).
Sounds good to me! I haven't really done any of the coding inside the reports, so don't have much to add - you'll have to ask @cavenel regarding your second point about the custom script. Might be due to legacy code from the Jackson Laboratory version of the pipeline, but that's just a guess.
With the latest updates to the pipeline I think that we fulfill your first two points @grst. Regarding the third point, do you mean "merge" as in some kind of integration or just something else?
Description of feature
Would be nice to have a single object instead of inidividual h5ad files.
Optional batch correction for integration.
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