local variable 'merge' referenced before assignment

[zEpoch]

when running pyWGCNA_5xFAD.runWGCNA()
`---------------------------------------------------------------------------
UnboundLocalError Traceback (most recent call last)
Cell In [8], line 1
----> 1 pyWGCNA_5xFAD.runWGCNA()

File /opt/software/python/lib/python3.8/site-packages/PyWGCNA/wgcna.py:353, in WGCNA.runWGCNA(self)
348 """
349 Preprocess and find modules
350 """
351 WGCNA.preprocess(self)
--> 353 WGCNA.findModules(self)
355 return self

File /opt/software/python/lib/python3.8/site-packages/PyWGCNA/wgcna.py:337, in WGCNA.findModules(self, **kwargs)
334 self.datExpr.var['moduleLabels'] = [colorOrder.index(x) if x in colorOrder else None for x in
335 self.datExpr.var['moduleColors']]
336 # Eigengenes of the new merged modules:
--> 337 self.MEs = merge['newMEs']
339 # Recalculate MEs with color labels
340 self.datME = WGCNA.moduleEigengenes(self.datExpr.to_df(), self.datExpr.var['moduleColors'])['eigengenes']

UnboundLocalError: local variable 'merge' referenced before assignment`

[nargesr]

Hi,

Could you give me more information about how you got this error?
for example which version of PyWGCNA did you run?
did you change any default parameters? if yes, which one?
What was your input?

[marie-minaeva]

Hey,

I encountered the same error. My PyWGCNA version is 1.16.8. Could it be due to the only 1 identified module in the network?
As input, I had the preprocessed sc expression as a pd.DataFrame with genes as columns and cells as rows
Code I run:

exp_mat = pd.read_csv(dataset_path, index_col=0, header=0)
network = PyWGCNA.WGCNA(name='coexpression', geneExp=exp_mat)
network.findModules()

And the Error I get:

Traceback (most recent call last):
  File "~/.local/lib/python3.10/site-packages/PyWGCNA/wgcna.py", line 337, in findModules
    self.MEs = merge['newMEs']
UnboundLocalError: local variable 'merge' referenced before assignment

[nargesr]

Hi,

The latest version is 1.2.4. Please install that one. Also, check the exact version of all the other dependencies here.

If you got the same error please send me your pickle object.

[marie-minaeva]

Hey!
I tried with the latest version and got the same error. Here is the pickle object:
coexpression.p.tar.gz

[nargesr]

Hi @marie-minaeva

I wasn't able to read your pickle file. please make sure that you can read it through PyWGCNA.readWGCNA() and resend it again

[marie-minaeva]

Hi @nargesr,
Here is the new object. I additionally gzipped since GitHub doesn't allow sending .p files. Thanks!
coexpression.p.gz

[nargesr]

Hi,

This is because you ended up with having only one modules.
I'll add warning at the end to avoid this error in future and give you warning instead of that