DESeq2 is a statistical method used for analyzing count data from high-throughput sequencing assays, such as RNA-Seq. It is designed to detect differentially expressed genes across different conditions by modeling the counts using a negative binomial distribution. DESeq2 normalizes the data to correct for library size differences and employs shrinkage estimation for dispersion and fold changes to improve the reliability of the results.
