Question: how to evaluate the quality of modules analysisd from WGCNA
gravatar for 464406567
2.0 years ago by
4644065670 wrote:

Hello everyone ,I want to known how to evaluate the quality of the module obtained from the WGCNA analysis. I analyzed about 3,000 genes with WGCNA and only got two modules. Does this have anything to do with the experimental grouping (only the control and experimental groups, there is no other information). In this case, how can I get my hubgenes. I'm looking forward to some advice. Thanks!

rna-seq gene • 1.1k views
ADD COMMENTlink modified 2.0 years ago • written 2.0 years ago by 4644065670
gravatar for Kevin Blighe
2.0 years ago by
Kevin Blighe69k
Republic of Ireland
Kevin Blighe69k wrote:

I will just focus on the main question, i.e., the identification of hub genes: if you just search in a search engine, you will easily find the solution. Thus, the easiest way is to simply use the chooseTopHubInEachModule function from WGCNA...

Take a look at this linked answer: A: How to find the hub genes in the gene co-expression network constructed by WGCNA


ADD COMMENTlink written 2.0 years ago by Kevin Blighe69k

thanks for your advice! if there were just two modules obtained from WGCNA,can i continue to the next step to analysis the hubgene got from these two modules? In addition ,I am very confused that what is the reason why i just got two modules from the WGCNA analysis?


ADD REPLYlink written 2.0 years ago by 4644065670

With no information provided about your data, I cannot make any further comment in that regard. WGCNA is not highly regarded, by the way (does not have a good reputation). Results from WGCNA are highly variable and the interpretation of these [results] is always speculative. Were you asked to use WGCNA? What was your input data? What was the distribution of your input data? Which soft threshold did you choose, and why?

ADD REPLYlink written 2.0 years ago by Kevin Blighe69k
Please log in to add an answer.


Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 2096 users visited in the last hour