smorabit / hdWGCNA

High dimensional weighted gene co-expression network analysis
https://smorabit.github.io/hdWGCNA/
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pbmc <- ModuleEigengenes( pbmc, group.by.vars = "orig.ident" ) pbmc@misc$PBMC$MEs %>% head NULL #236

Closed Baozi9 closed 2 weeks ago

Baozi9 commented 1 month ago

When i run this code to compute all MEs in the full single-cell dataset , however, the result of MEs is full of the character"NAN",like the picuture just show. I don"t kown waht happened ,can someone give some sugggestion? Thanks a lot!!

code

pbmc <- ScaleData(pbmc, features = VariableFeatures(pbmc))

compute all MEs in the full single-cell dataset

pbmc <- ModuleEigengenes( pbmc, group.by.vars = "orig.ident" )

pbmc@misc$PBMC$MEs %>% head NULL

微信图片_20240307155709
smorabit commented 1 month ago

Hi,

Are you able to reproduce this behavior on the tutorial dataset? I have not encountered NaN values in the modules table before.

smorabit commented 2 weeks ago

Closing this issue due to inactivity.