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In #402, we saved CellAssign output in the SCE object.
Turns out that that content saved into the colData celltype column was actually a full data frame and not just a vector celltypes, eg.
> sce$cellassign_celltype_annotation |>head()
barcode celltype prediction
1 ACGTCAAAGGTGTTAA Monocytes 1.0000000
2 CCTTCGAGTGTCTGAT other 0.9999851
3 GCGGGTTAGCCCTAAT Gamma delta T cells 1.0000000
4 AGCGTATAGACACTAA Gamma delta T cells 1.0000000
5 GCAAACTCATATGGTC Gamma delta T cells 1.0000000
6 TACGGTACATTATCTC Monocytes 1.0000000
We will want to just save celltype here, so this line of code needs to change:
In #402, we saved CellAssign output in the SCE object.
Turns out that that content saved into the colData celltype column was actually a full data frame and not just a vector celltypes, eg.
We will want to just save
celltype
here, so this line of code needs to change:scpca-nf/bin/classify_cellassign.R
Lines 71 to 72 in 78eb330
to:
That's it!
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