I am analyzing a single cell dataset from SMART-SEQ having 300 cells. I am following Seurat's guided tutorial for clustering. I am confused about how to normalize the data, and I am using
NormalizeData() from Seurat.
However, I do not see much difference between raw and normalized counts. The distribution still appears to be bi-modal; how should I proceed with the normalization? I there a workaround through which I can evaluate the normalized counts? It is a follow-up question from the previous post
Here's how the data looks,