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)