Hello,

I am trying to do PVCA analysis on my microarray data. The covariates used are similar to the biological parameter of interest. Like for examples all the cases were processed on same day and all the controls were processed on same day. So technically all the values in the covariates is same with the biological parameter (case control). biological_parameter <- c(1,1,1,1,1,1,1,2,2,2,2,2,2,2,2) exp_date <- c(1,1,1,1,1,1,1,2,2,2,2,2,2,2,2)

In such case can we do PCVA to find the contribution of covariates while performing differential gene expression .