You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I was trying to generate a confusion matrix using get_celltype_mapping() function. My sce object contains a little less than 3000 genes (selected by retain_informative_genes()), and more than 5000 cells. The number of selected genes was 254.
However, I got the following error: Something went wrong: likely memory is exhausted or features you selected can not be used for pca. Try downsampling, smaller n.neigh or smaller nPC.all.
When I tested further, it worked when 3100 cells were given as input. Now, I wonder how much memory is consumed by the algorithm. I am working on the server with a supercomputer, so I have 2TiB RAM... It would be nice if you could provide an approximate memory limit given certain parameters (nCells, nGenes, etc.).
Best,
Heesoo
The text was updated successfully, but these errors were encountered:
Hi, thanks for the nice tool.
I was trying to generate a confusion matrix using get_celltype_mapping() function. My sce object contains a little less than 3000 genes (selected by retain_informative_genes()), and more than 5000 cells. The number of selected genes was 254.
However, I got the following error:
Something went wrong: likely memory is exhausted or features you selected can not be used for pca. Try downsampling, smaller n.neigh or smaller nPC.all.
When I tested further, it worked when 3100 cells were given as input. Now, I wonder how much memory is consumed by the algorithm. I am working on the server with a supercomputer, so I have 2TiB RAM... It would be nice if you could provide an approximate memory limit given certain parameters (nCells, nGenes, etc.).
Best,
Heesoo
The text was updated successfully, but these errors were encountered: