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Analysis Methods/Differential Expression Analysis

Differential Expression Analysis

Differential expression analysis is performed using DESeq2 in R. If gene-based normalization is enabled, estimateSizeFactors is called on the control genes. The normalized counts for the control and comparison groups are calculated from log2FoldChange and baseMean in the DESeq2 results.

For more information, visit the DESeq2 page on the Bioconductor website.