**10**wrote:

I have a DGEGLM object from edgeR called fit2

fit2 <- glmFit(counts(Data), design, disp2$tagwise.dispersion,offset=-offst(dataOffset))

I want the logFC values so

logFC <- fit2$coefficients[geneA,2] # first column intercept, second column is my comparison fit2$fitted.values[geneA,] # is the vector with the fitted values TableWithFC <- aggregate(log2(fit2$fitted.values[geneA,]) ~ (condition),FUN= mean) logFC2 <- TableWithFC[2,2]-TableWithFC [1,2]

logFC is **NOT** equal to logFC2

If logFC is the right one (is the same I get if I continue the pipeline and I do glmLRT and topTags), how I can obtain the expression values of geneA for each sample in order to obtain a boxplot like this:

boxplot(log2(fit2$fitted.values["geneA",]) ~ (fit2$design[,2]))

but with the values giving the logFC of the fit2$coefficients[geneA,2] ?

In other words the boxplot with the fitted.values is not representative of the result with coefficients.

I want a boxplot representative of the logFC obtained with coefficients.

Thanks,

P

**23k**• written 4 months ago by zoppoli pietro •

**10**