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Updated: Aug 21, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
Published on: September 18, 2021
Beyond differential expression: Differential variability as an underappreciated axis in transcriptomics
Chenxin Flora Jiang1, Changhu Wang2, Jingyi Jessica Li3
1Department of Statistics and Data Science, University of California, Los Angeles, Los Angeles, CA 90095, USA.
None:
Differential expression has long been the default lens for comparing transcriptomes between conditions, but mean shifts alone can miss important biological signals. Using a recent debate on memory-associated transcriptome changes, this commentary highlights differential variability as an underappreciated axis for interpreting transcriptome variation.
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