seqgendiff (1.1.1)

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RNA-Seq Generation/Modification for Simulation.

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) for details on the implemented methods.

Maintainer: David Gerard
Author(s): David Gerard [aut, cre] (<>)

License: GPL-3

Uses: assertthat, cate, clue, irlba, matchingR, pdist, optmatch, qvalue, testthat, knitr, rmarkdown, covr

Released 5 months ago.

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