Question: Can I run cellassign on samples independently if there is batch effect present?
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gravatar for townsendae
15 days ago by
townsendae0
townsendae0 wrote:

I am running the R cellassign algorithm on a set of 9 samples. Each sample consists of cells extracted from lungs. When I look at a UMAP plot and color by sample origin, there is a notable batch effect. So, here's my question..

Can I run the cellassign algorithm on each sample independently for cell typing, or do I have to combine the samples and run the algorithm with correction for batch effect?

I have not been able to find any resources online that take the first approach. The reason I am asking this question is because I am unable to run the algorithm on all the samples combined as I get an out of memory error. Any suggestions/resources are appreciated!

ADD COMMENTlink written 15 days ago by townsendae0
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