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Chunk #40 — Implementation — Modeling measurement error in RNA-seq data

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variancePartition: interpreting drivers of variation in complex gene expression studies.
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Uncertainty in the measurement of RNA-seq data can be modeled with observation-level precision weights that model the relationship between expression magnitude and sampling variance [15]. variancePartition naturally incorporates these precision weights to create a heteroskedastic linear mixed model [29] that can explicitly account from the measurement uncertainty due to the finite count nature of RNA-seq data.