R: RNA-Seq Generation/Modification for Simulation

# RNA-Seq Generation/Modification for Simulation

## Documentation for package ‘seqgendiff’ version 1.2.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

seqgendiff-package | seqgendiff: RNA-Seq Generation/Modification for Simulation
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 | seqgendiff: RNA-Seq Generation/Modification for Simulation
summary.ThinData | Provide summary output of a ThinData S3 object.
ThinDataToDESeqDataSet | Converts a ThinData S3 object into a DESeqDataSet S4 object.
ThinDataToSummarizedExperiment | Converts a ThinData S3 object into a SummarizedExperiment S4 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.