Function reference • seqgendiff

All functions
`ThinDataToDESeqDataSet()`	Converts a ThinData S3 object into a DESeqDataSet S4 object.
`ThinDataToSummarizedExperiment()`	Converts a ThinData S3 object into a SummarizedExperiment S4 object.
`corassign()`	Group assignment that is correlated with latent factors.
`effective_cor()`	Estimates the effective correlation.
`est_sv()`	Estimate the surrogate variables.
`fix_cor()`	Fixes an invalid target correlation.
`permute_design()`	Permute the design matrix so that it is approximately correlated with the surrogate variables.
`poisthin()`	Apply Poisson thinning to a matrix of count data.
`select_counts()`	Subsample the rows and columns of a count matrix.
`seqgendiff-package`	seqgendiff: RNA-Seq Generation/Modification for Simulation
`summary(<ThinData>)`	Provide summary output of a ThinData S3 object.
`thin_2group()`	Binomial thinning in the two-group model.
`thin_all()`	Binomial thinning for altering read-depth.
`thin_base()`	Base binomial thinning function.
`thin_diff()`	Binomial thinning for differential expression analysis.
`thin_gene()`	Binomial thinning for altering total gene expression levels
`thin_lib()`	Binomial thinning for altering library size.
`uncorassign()`	Group assignment independent of anything.

Reference