As was observed with differential expression analysis using microarrays, genes with low intensity values tend to suffer from a small signal-to-noise ratio. Alternative estimators can be found that are more stable than the standard calculation of fold change as the ratio of average observed values for each condition [53-55]. DESeq2’s approach can be seen as an extension of these approaches for stable estimation of gene-expression fold changes to count data.