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Thanks for creating this! I'm currently trying to denoise single cell data that comes from a single cell type. Running the base decontX on the data yields weird results as the program is trying to identify cell types within my data. When I try running with the background option for Seurat, I keep getting this error:
Error: The number of rows in 'eta' must be equal to the number of rows in 'counts'.
In addition: Warning message:
In asMethod(object) :
sparse->dense coercion: allocating vector of size 1.4 GiB
I've tried making the filtered and unfiltered matrixes equal in their counts, but I still get this error. Is there any way around this?
Thanks!
Ethan
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