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Hello, I have the following problem when dealing with my data:
First of all, when I use all the data, my single cell data is 150,000, and I get the following error, I want to know if Scissor has a requirement on the number of cells. I see your proposed solution but it doesn't work for me.
Cholmod error 'problem too large' at file .. /Core/cholmod_dense.c, line 102
While I was pulling out some cells for testing, I encountered the following problem while running the scissor step
infos4 <- Scissor(bulk_dataset, sc_dataset, phenotype, tag = tag, alpha = 0.5,
family = "binomial",
Save_file = "Scissor_LUAD_TP53_mutation.RData")
Error in array(x, c(length(x), 1L), if (! is.null(names(x))) list(names(x), :
'data' must be of a vector type, was 'NULL'
I don't know if it's because my data is integrated. I want to try to run
Error in as.vector(data) :
no method for coercing this S4 class to a vector
There is another question I would like to consult. If I only use disease grouping as the phenotype condition, can I do not need BULK data for implementation
The text was updated successfully, but these errors were encountered:
Hello, I have the following problem when dealing with my data:
Cholmod error 'problem too large' at file .. /Core/cholmod_dense.c, line 102
infos4 <- Scissor(bulk_dataset, sc_dataset, phenotype, tag = tag, alpha = 0.5,
family = "binomial",
Save_file = "Scissor_LUAD_TP53_mutation.RData")
Error in array(x, c(length(x), 1L), if (! is.null(names(x))) list(names(x), :
'data' must be of a vector type, was 'NULL'
I don't know if it's because my data is integrated. I want to try to run
sc_dataset <-Seurat_preprocessing(sc_dataset, verbose = F)
I still get errors
Error in as.vector(data) :
no method for coercing this S4 class to a vector
The text was updated successfully, but these errors were encountered: