Transform RNA-Seq count data so that variance due to biological noise plus its count-based nature is stable across genes with different average expression levels. This takes the form of a log transformation which is moderated for low counts. Transforming data in this way makes many statistical and machine learning techniques applicable. A Shiny report function showing diagnostic plots based on the transformed data is also provided.
|Maintainer||Paul Harrison <[email protected]>|
|License||LGPL-2.1 | file LICENSE|
|Package repository||View on GitHub|
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