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Chunk #49 — Results and discussion — Comparative benchmarks — Benchmark for RNA sequencing data

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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
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verification set, which were taken as truth. It is important to keep in mind that the calls from the verification set are only an approximation of the true differential state, and the approximation error has a systematic and a stochastic component. The stochastic error becomes small once the sample size of the verification set is large enough. For the systematic errors, our benchmark assumes that these affect all algorithms more or less equally and do not markedly change the ranking of the algorithms.