Perhaps a silly question but the default normalization method in Seurat is "LogNormalize". Instead of automatically running the code, I would like to understand what is happening when I perform the normalization and scaling steps in Seurat. And how exactly does this differ from z score normalization? How are the expression levels in e.g. the feature plots expressed?
Please take into consideration that I am not comfortable with statistics, so do not hesitate to try to give a simple and elaborate explanation!
Many thanks in advance, Florencia