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and the run was killed, and the same happened when I changed return.only.var.genes to TRUE.
I checked all issues #1426, #1378, #25, but no solution work.
I stuck at this and I could not move to the next step in my code, any help, please.
The text was updated successfully, but these errors were encountered:
Although you won't be able to use the SCTransform algorithm, a bypass would be to run normal normlization and scaling prior to RunPCA()
The sequence would be:
NormalizeData()
ScaleData(Sproject, vars.to.regress= c("percent.mt", "percent.rps", "percent.rpl", "percent.rrna", "nCount_RNA", "nFeature_RNA") )
RunPCA()
...
This at least worked for me when I was having issues yesterday and would at least allow you to move forward to generating UMAPs in the meantime.
This was addressed by @ChristophH in satijalab/sctransform#25. My guess would be that if you decreased the number of latent variables in the model you might see less of these cases where you can't reliably estimate theta, but Christoph or @yuhanH might be able to comment further
Hi
I got hundreds of warning "reached iteration limit" when I run
Sproject <- SCTransform(Sproject, vars.to.regress = c("percent.mt", "percent.rps", "percent.rpl", "percent.rrna", "nCount_RNA", "nFeature_RNA"), verbose = FALSE, return.only.var.genes = FALSE)
and the run was killed, and the same happened when I changed return.only.var.genes to TRUE.
I checked all issues #1426, #1378, #25, but no solution work.
I stuck at this and I could not move to the next step in my code, any help, please.
The text was updated successfully, but these errors were encountered: