Why do you normalize the feature twice?
lwtan90 opened this issue · comments
Hi,
I am trying to understand the purpose of performing row-normalization twice in the utils.py
?
- once in
line 191
for preprocessing of scRNA-seq data? - the second time in the getGraph function in
line 114
(as shown in the link below)?
https://github.com/Joye9285/scGAC/blame/893909a7e46e0ed2e52fd1800f2c1606c4cf447a/utils.py#L114
since the values will be log-transformed in each normalization function, wouldnt this pose any problem?
I dont see a difference between normalization
and normalization_for_NE
function.
Thank you.
Wil