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Chunk #30 — Results and discussion — Detection of count outliers

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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
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How should one deal with flagged outliers? In an experiment with many replicates, discarding the outlier and proceeding with the remaining data might make best use of the available data. In a small experiment with few samples, however, the presence of an outlier can impair inference regarding the affected gene, and merely ignoring the outlier may even be considered data cherry-picking – and therefore, it is more prudent to exclude the whole gene from downstream analysis.