I am trying to perform WGCNA on a single-cell RNA-seq dataset. I want to find genes which are highly correlated with specific gene signatures, e.g. the B-cell or T-cell markers. Can I define parameters which reflect the expression of the RNA signature as external traits and then do WGCNA? For example, sum the expression values of certain genes and then transform the values depending on the situation. It would be appreciated if you can list some references that do the same things as are described. I could not find any.
Alternatively, I am thinking performing enrichment analysis on identified clusters. I have found literature using this approach. What is the main difference between these two methods in terms of the sensitivity to identify potential genes?