Hello bioconductor team, I would like your guidance about how would you compare gene expression among three different conditions. For example two different tratments and a control group. Hence, levels of tratment are ("control", "treatment_A"," treatment_B") I already tried to run the model with "control" as the reference level:
zlmCond<- MAST::zlm(~treatment + cngeneson + (1|donor_identity), method="glmer", ebayes=FALSE) summaryCond<-summary(zlmCond, doLRT=c("treatment_A", "treatment_B"))
With this I obtain the coefficients and p-values for each tratment (A and B), regarding the control group. But then if I also would like to know the difference between treatment_A" and "treatment_B", Should I run this again but just changing the reference level for one of the treatment groups? Or there is a more "elegant" way to compare simultaneosly the three different groups? What would you suggest?
Thanks a lot for your time and for your cool packages. Best regards, Sofía
# include your problematic code here with any corresponding output # please also include the results of running the following in an R session sessionInfo( )