Package: SPsimSeq
Title: Semi-parametric simulation tool for bulk and single-cell RNA sequencing data
Version: 1.21.0
Authors@R: 
    c(person(given = "Alemu Takele",
           family = "Assefa",
           role = c("aut"),
           email = "alemutak@hotmail.com"),
    person(given = "Olivier",
           family = "Thas",
           role = c("ths"),
           email = "Olivier.Thas@ugent.be"),
    person(given = "Joris",
           family = "Meys",
           role = c("cre"),
           email = "Joris.Meys@ugent.be"),
    person(given = "Stijn",
           family = "Hawinkel",
           role = c("aut"),
           email = "stijnhawinkel@hotmail.com"))
Description: SPsimSeq uses a specially designed exponential family for density estimation 
              to constructs the distribution of gene expression levels from a given real 
              RNA sequencing data (single-cell or bulk), and subsequently simulates a new 
              dataset from the estimated marginal distributions using Gaussian-copulas to 
              retain the dependence between genes. It allows simulation of multiple groups 
              and batches with any required sample size and library size.
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/CenterForStatistics-UGent/SPsimSeq
Imports: 
         stats, 
         methods,
         SingleCellExperiment,  
         fitdistrplus, 
         graphics,  
         edgeR,
         Hmisc,
         WGCNA, 
         limma, 
         mvtnorm,
         phyloseq,
         utils
biocViews: GeneExpression, RNASeq, SingleCell, Sequencing, DNASeq
RoxygenNote: 7.1.0
Suggests: 
    knitr,    
    rmarkdown,
    LSD,
    testthat,
    BiocStyle
VignetteBuilder: knitr
Depends: R (>= 4.0)
git_url: https://git.bioconductor.org/packages/SPsimSeq
git_branch: devel
git_last_commit: c584581
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
