I can't follow the tutorial about pywgcna HOT 3 CLOSED

Hi,

I updated 5xFAD_paper.zip. Please download the updated version and let me know if you still have that problem.
thank you so much

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It worked. Thank you so much!
Now im using my own data but the expression values are in FPKM.
Would it make any difference to the analysis?

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When you use TPM, the sum of all TPMs in each sample is the same. This makes it easier to compare the proportion of reads that mapped to a gene in each sample. In contrast, with FPKM, the sum of the normalized reads in each sample may be different, and this makes it harder to compare samples directly.

Overall, I would suggest using TPM if you have that information otherwise you can use FPKM but you might get an artificial class due to you're using FPKM...

from pywgcna.