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Warning: Overwriting miscellanous data for modelWarning: Adding a dimensional reduction (refUMAP) without the associated assay being presentWarning: Adding a dimensional reduction (refUMAP) without the associated assay being presentdetected inputs from HUMAN with id type Gene.stable.ID
reference rownames detected HUMAN with id type Gene.name
Found 0 out of 60 total inputs in conversion table
Error: No feature overlap between existing object and new layer data
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The text was updated successfully, but these errors were encountered:
You may want to check that "RNA" is set as the default Assay in your query object. It looks like you have another Assay that has 60 features (such as ADT) that it's trying to convert to Gene.name but can't.
Please see the code, It seems my object does not have overlap with reference. How should I improve?
I am also confused with Normalization step, In the previous Vignette, it was suggested to use STC transormation.
names(object)
[1] "RNA" "HTO" "ADT" "RNA_nn" "RNA_snn" "wknn" "wsnn" "pca"
[9] "umap" "harmony" "apca" "wnn.umap" "rna.umap" "adt.umap"
> names(object@assays)
[1] "RNA" "HTO" "ADT"
**> objquery <- RunAzimuth(object,
Warning: Overwriting miscellanous data for modelWarning: Adding a dimensional reduction (refUMAP) without the associated assay being presentWarning: Adding a dimensional reduction (refUMAP) without the associated assay being presentdetected inputs from HUMAN with id type Gene.stable.ID
reference rownames detected HUMAN with id type Gene.name
Found 0 out of 60 total inputs in conversion table
Error: No feature overlap between existing object and new layer data
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The text was updated successfully, but these errors were encountered: