Closed bioguy2018 closed 2 years ago
You can use basic SingleCellExperiment
operations for this, nothing CATALYST
-specific. E.g., (here, rows = features, columns = observations)
y <- exprs(sce) # get expression matrix
i <- y["CDX", ] >= 0.1 # find cells with CDX expression of at least 0.1
sub <- sce[, i] # subset the object
Dear Helena, Thanks a lot for your answer! is exprs() provided by SingleCellExperiment ? I have v1.16.0 but this function is not within the package. So I am not so sure but anyway I accessed the Matrix using another method! Thanks a lot again!
if you print the sce, which assays do you see are available? You can access an assay of choice via assay(sce, assayName). (I’d recommend looking up the SCE class for such basic operations)
Dear Helena, Thanks for the info! sometimes I still think of the old structure which we had daf instead of sce! 😄 The new sce has made it much more felixble! Thank you However, I have come to a confusion! There is a differnece when I run filterSCE(sce[,assay(sce,"exprs")["marker",]>=5] and when I do not specify the exprs explicitly! I thought the default assay is anyway exprs so I am surprised! what does the filterSCE() actually filter then when I do not provide the slot??
p.s. by difference I mean the number of filtered cells!
You mean there's a difference between i) assay(sce)
and ii) assay(sce, "exprs")
? If yes, that's of course to be expected because i) accesses the 1st available assay (here, ion counts
), while ii) uses the transformed data (exprs
).
Dear Helena, Is there a method to filter out cells with specific expression values within Catalyst? the filterSCE() did not help in this case or maybe I couldn't make it work.
Thank you so much!