Closed sr320 closed 6 months ago
If you haven't already, you might want to take a look at Ariana's WGCNA code I have been basing my work off of here. It does a good job of walking you through it, and I think you would just need to replace the thinking around "lifestage" with any grouping in these samples.
I'm running my mRNA WGCNAs, so once I have the code up and running with instructions, I can link it here. We can discuss tomorrow as well!
merged text file (exposed and controls) : https://raw.githubusercontent.com/sr320/ceabigr/main/output/68-female-exon-fold/female_merge.txt
Notebook post on attempt/script from 2/8 here: https://ahuffmyer.github.io/ASH_Putnam_Lab_Notebook/WGCNA-Attempt-1-for-ceabigr-project-exon-expression-data/
Resolved with ASCA analysis here: https://ahuffmyer.github.io/ASH_Putnam_Lab_Notebook/Analysis-of-Variance-Simultaneous-Component-Analyses-ASCA-for-CEABIGR-project/
We have exon expression levels of 13k genes and I would like to group based on expression pattern (thinking of as time series)..
Here is the data: https://github.com/sr320/ceabigr/blob/main/output/68-female-exon-fold/logfc.txt
Here is my attempt at WGCNA: https://github.com/sr320/ceabigr/blob/main/code/69-wgcna.qmd
a bit lost though.
Is this the proper approach..