Hi, I have a proteomics data set and I am doing the differential analysis on that. I used the Limma package to do that. I first removed the negative counts and did the analysis but I am getting all upregulated ones and none of the ones are down .
groups<-interaction(final_val_C144$Qp_Group,final_val_C144$Day)
design = model.matrix(~0+groups)
colnames(design) = gsub("groups","",colnames(design))
d0 <- DGEList(proteomeRaw_c144)
d0 <- calcNormFactors(d0)
y<-voom(d0,design,plot=T)
fit <- lmFit(y, design)
head(coef(fit))
fit1 <- eBayes(fit)
top.table <- topTable(fit1, sort.by = "F", n = Inf)
On running the below code, I get the following output
summary(decideTests(fit1))
Down 0 0 0 0 0 0 0 0
NotSig 0 0 0 0 0 0 0 0
Up 8106 8106 8106 8106 8106 8106 8106 8106
Any help .
Cross posted to Biostars