Hello!
I am using SC3 for clustering of pbmc single cell data which was originally a Seurat object converted to SCE. However, I have encountered the following issue...

pbmc <- sc3_estimate_k(pbmc)
metadata(pbmc)$sc3$k_estimation

#Transform counts slot in pbmc object to full matrix as sparse matrix throws error about wrong dimension
counts(pbmc) <- as.matrix(counts(pbmc))
logcounts(pbmc) <- as.matrix(logcounts(pbmc))
pbmc <- sc3(pbmc, ks = 11, biology = TRUE)

Error in checkForRemoteErrors(val) : 3 nodes produced errors; first error: Error in [.default(clusts, , paste0("sc3_", hash.table[i, 1], "_clusters")) : incorrect number of dimensions

Is there something i am doing wrong?

Cheers,
Lucy