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SPsimSeq

Semi-parametric simulation tool for bulk and single-cell RNA sequencing data

Bioconductor version: 3.23 · Package version: 1.22.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SPsimSeq")

Details

MaintainerJoris Meys <Joris.Meys@ugent.be>
AuthorAlemu Takele Assefa [aut], Olivier Thas [ths], Joris Meys [cre], Stijn Hawinkel [aut]
LicenseGPL-2
URLhttps://github.com/CenterForStatistics-UGent/SPsimSeq
Downloads rank298
Source branchRELEASE_3_23
biocViewsDNASeq, GeneExpression, RNASeq, Sequencing, SingleCell, Software

Documentation

Download

Dependencies

Depends: R (>= 4.0)

Imports: stats, methods, SingleCellExperiment, fitdistrplus, graphics, edgeR, Hmisc, WGCNA, limma, mvtnorm, phyloseq, utils

Suggests: knitr, rmarkdown, LSD, testthat, BiocStyle

Reverse dependencies

Imports Me (1): SurfR

Suggests Me (1): benchdamic