Generates/modifies RNA-seq data for use in simulations. We provide a suite of functions that will add a known amount of signal to a real RNA-seq dataset. The advantage of using this approach over simulating under a theoretical distribution is that common/annoying aspects of the data are more preserved, giving a more realistic evaluation of your method. The main functions are select_counts(), thin_diff(), thin_lib(), thin_gene(), thin_2group(), thin_all(), and effective_cor(). See Gerard (2019) <doi:10.1101/758524> for details on the implemented methods.
|Author||David Gerard [aut, cre] (<https://orcid.org/0000-0001-9450-5023>)|
|Maintainer||David Gerard <[email protected]>|
|Package repository||View on CRAN|
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