This command gives:
Error: No cells found
I have a Seurat object in which the meta.data include a column name "predicted_cell_type". The values of this column include "0:CD8 T cell", "1:CD4 T cell", "2:spinous cell", etc.
I would like to extract the "0:CD8 T cell" from the object and use the following command:
subset(skin, subset = skin@meta.data[['predicted_cell_type']] == '0:CD8 T cell')
but it gives the following error:
Error in FetchData.Seurat(object = object, vars = unique(x = expr.char[vars.use]), :
None of the requested variables were found:
Do you know what is the correct command to do this?
With many thanks
You do not need to include skin@meta.data[['predicted_cell_type']] in your subset function. Try the following instead:
subset(skin, subset = predicted_cell_type == '0:CD8 T cell')
As an example see https://satijalab.org/seurat/articles/essential_commands.html
This command gives:
Error: No cells found
Do you have cells labeled "0:CD8 T Cell" in skin$predicted_cell_type?
> skin$predicted_cell_type
Error in rep.int(x = colnames(x = x), times = length(x = i)) : unimplemented type 'NULL' in 'rep3'
but cells labeled as '0:CD8 T cell' do exit.
> unique(skin@meta.data[['predicted_cell_type']] == '0:CD8 T cell')
[1] FALSE TRUE
Hmm, not sure why subset doesn't match to '0:CD8 T cell' but maybe it's the ":"?
An alternative option is the following:
idx <- which(skin$predicted_cell_type == '0:CD8 T cell')
skin <- skin[,idx]
To keep the subset call as clean as possible, you can:
Idents(skin) <- "predicted_cell_type"
cell_values <- c("0:CD8 T cell")
subset(skin, idents = cell_values, invert = FALSE)
> Idents(skin) <- "predicted_cell_type"
Warning message:
In `Idents<-.Seurat`(`*tmp*`, value = "predicted_cell_type") :
Cannot find cells provided
> cell_values <- c("0:CD8 T cell")
> subset(skin, idents = cell_values, invert = FALSE)
Error in WhichCells.Seurat(object = x, cells = cells, idents = idents, :
Cannot find the following identities in the object: 0:CD8 T cell
You should check the consistency of both your seurat object and the meta.data table. I tried to add some identities formatted like yours to one of my dataset and my code worked fine.
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