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Hi! I am getting an error when running
RCTD <- create.RCTD(query, reference, max_cores = 9)
The error is:
End: process_cell_type_info create.RCTD: getting regression differentially expressed genes: Error in get_de_genes(cell_type_info$info, puck.original, fc_thresh = config$fc_cutoff_reg, : get_de_genes: Error: 0 common genes between SpatialRNA and Reference objects. Please check for gene list nonempty intersection. In addition: Warning messages: 1: In asMethod(object) : sparse->dense coercion: allocating vector of size 1.6 GiB 2: In asMethod(object) : sparse->dense coercion: allocating vector of size 1.6 GiB 3: In asMethod(object) : sparse->dense coercion: allocating vector of size 1.6 GiB
However the below code indicates that 478 of the 480 genes in the query match the reference:
> q.genes <- query@counts@Dimnames[[1]] > ref.genes <- reference@counts@Dimnames[[1]] > > matching_genes <- intersect(q.genes,ref.genes) > > length(matching_genes) [1] 478
Any suggestions on how to move forward would be greatly appreciated!
The text was updated successfully, but these errors were encountered:
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Hi! I am getting an error when running
RCTD <- create.RCTD(query, reference, max_cores = 9)
The error is:
However the below code indicates that 478 of the 480 genes in the query match the reference:
Any suggestions on how to move forward would be greatly appreciated!
The text was updated successfully, but these errors were encountered: