RNA-seq differential expression compares transcript abundance between conditions using RNA sequencing data. Counts require normalization and a model that accounts for biological variability as well as sampling. A transcript’s share of all reads can fall even when its absolute abundance is unchanged, if other transcripts increase. Replicate samples, composition effects and cell-type mixtures therefore matter when interpreting an apparent expression change. [ref]
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