SPsimSeq
Semi-parametric simulation tool for bulk and single-cell RNA sequencing data
Bioconductor version: 3.24 · Package version: 1.23.0
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
| Maintainer | Joris Meys <Joris.Meys@ugent.be> |
| Author | Alemu Takele Assefa [aut], Olivier Thas [ths], Joris Meys [cre], Stijn Hawinkel [aut] |
| License | GPL-2 |
| URL | https://github.com/CenterForStatistics-UGent/SPsimSeq |
| Downloads rank | 452 |
| Source branch | devel |
| biocViews | DNASeq, GeneExpression, RNASeq, Sequencing, SingleCell, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SPsimSeq_1.23.0.tar.gz |
| Windows binary (x86_64) | SPsimSeq_1.23.0.zip |
| macOS binary (arm64) | SPsimSeq_1.23.0.tgz |
| macOS binary (x86_64) | SPsimSeq_1.23.0.tgz |
Dependencies
Depends: R (>= 4.0)
Imports: stats, methods, SingleCellExperiment, fitdistrplus, graphics, edgeR, Hmisc, WGCNA, limma, mvtnorm, phyloseq, utils