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
Hi, I compare the output of sctransform and sclink for gene expression network inference, and I found that the number of such link (edge) is very different. Consider I have 1000 genes which are used to find the correlation matrix.
For sclink, I nomrally have 1554/1000^2 = 0.001554, but if I use sctransform and p value as 0.005, then the propertion is 0.12443. It seems that sclink generally captures less co expression relation. Is it normal? Thanks a lot.
The text was updated successfully, but these errors were encountered:
Hi, I compare the output of sctransform and sclink for gene expression network inference, and I found that the number of such link (edge) is very different. Consider I have 1000 genes which are used to find the correlation matrix.
For sclink, I nomrally have 1554/1000^2 = 0.001554, but if I use sctransform and p value as 0.005, then the propertion is 0.12443. It seems that sclink generally captures less co expression relation. Is it normal? Thanks a lot.
The text was updated successfully, but these errors were encountered: