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While running bcRegressOut(), it stops with the following error:
k.neighbors must be lower than the number of complete cases in @normalized slot: 0.
The data I'm working with have a high proportion of NA and all samples have at least one missing value. I was indicated to replace these missing values by 0, meaning no enrichment for that drug signature, and recompute values, step after which regression worked well.
# Replace NAs by 0sbc@normalized[is.na(bc@normalized)] <-0bc<- bcRecompute(bc, slot="normalized")`
Thanks for the support!
The text was updated successfully, but these errors were encountered:
While running
bcRegressOut()
, it stops with the following error:The data I'm working with have a high proportion of NA and all samples have at least one missing value. I was indicated to replace these missing values by 0, meaning no enrichment for that drug signature, and recompute values, step after which regression worked well.
Thanks for the support!
The text was updated successfully, but these errors were encountered: