How to get a list of differentialy expressed genes with data from Illumina array?

Question

[kanacska]

Hi,

I want to do a list for differentially expressed genes with txt data from this experiment: GSE38376

I downloaded the txt file read it in R and normalized it:

> idata <- read.ilmn("GSE38376_non-normalized.txt",probeid = "PROBE_ID",expr="SKBR")
> data_nobg <- backgroundCorrect(idata,method="normexp")
> data_norm <- normalizeBetweenArrays(data_nobg,method="quantile")

data_norm is in Elist class

Now I would like to select the differentially expressed genes with creating a model.matrix and then do the lmFit but do I have to do the step ExpressionSetillumina? if I do how do I do do it , with the class Elist? If id ont how do I continue??

Thanks,
Anna