Bioinformatics Asked on November 24, 2021
I am pretty new to Seurat. I want to subset from my original seurat object (BC3) meta.data based on orig.ident. however, when i use subset(), it returns with Error.
ER_HER_P <- subset(BC3, idents = c("BC03"))
Error: No cells found
table(Idents(BC3))
BC01 BC02 BC03 BC03LN BC04 BC05 BC06 BC07 BC07LN BC08 BC09 BC10 BC11
21 50 33 51 42 74 15 48 52 21 55 13 11
There are 33 cells under the identity. I checked the active.ident to make sure the identity has not shifted to any other column, but still I am getting the error?
head([email protected])
[1] BC01 BC01 BC01 BC01 BC01 BC01
Levels: BC01 BC02 BC03 BC03LN BC04 BC05 BC06 BC07 BC07LN BC08 BC09 BC10 BC11
If you are going to use idents like that, make sure that you have told the software what your default ident category is.
This works for me, with the metadata column being called "group", and "endo" being one possible group there.
Idents(combined.all) <- "group"
endo_subset <- subset(combined.all, idents = c("endo"))
I think this is basically what you did, but I think this looks a little nicer
Answered by swbarnes2 on November 24, 2021
A bit too long to type as a comment.
To use subset on a Seurat object, (see ?subset.Seurat
) , you have to provide:
Subset a Seurat object
Description:
Subset a Seurat object
Usage:
## S3 method for class 'Seurat'
x[i, j, ...]
## S3 method for class 'Seurat'
subset(x, subset, cells = NULL, features = NULL, idents = NULL, ...)
Arguments:
x: Seurat object to be subsetted
i, features: A vector of features to keep
j, cells: A vector of cells to keep
So you either use the matrix to subset:
library(Seurat)
data(pbmc_small)
Idents(pbmc_small) = paste0("BC",Idents(pbmc_small))
table(Idents(pbmc_small))
BC0 BC2 BC1
36 19 25
test = pbmc_small[,Idents(pbmc_small)=="BC0"]
table(Idents(test))
BC0
36
Or you provide the cells:
subset(pbmc_small,cells=colnames(pbmc_small)[Idents(pbmc_small)=="BC0"])
An object of class Seurat
230 features across 36 samples within 1 assay
Active assay: RNA (230 features, 20 variable features)
2 dimensional reductions calculated: pca, tsne
What you have should work, but try calling the actual function (in case there are packages that clash):
Seurat:::subset.Seurat(pbmc_small,idents="BC0")
An object of class Seurat
230 features across 36 samples within 1 assay
Active assay: RNA (230 features, 20 variable features)
2 dimensional reductions calculated: pca, tsne
Answered by StupidWolf on November 24, 2021
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