"counts"(object, normalized = FALSE, replaced = FALSE)
"counts"(object) <- valueDESeqDataSet object.DESeq call, this argument will return the counts
with outliers replaced instead of the original counts, and optionally normalized.
The replaced counts are stored by DESeq in assays(object)[['replaceCounts']].sizeFactors, normalizationFactors
dds <- makeExampleDESeqDataSet(m=4) head(counts(dds)) dds <- estimateSizeFactors(dds) # run this or DESeq() first head(counts(dds, normalized=TRUE))