SCRIP: An Accurate Simulator for Single-Cell RNA Sequencing Data

We provide a comprehensive scheme that is capable of simulating Single Cell RNA Sequencing data for various parameters of Biological Coefficient of Variation, busting kinetics, differential expression (DE), cell or sample groups, cell trajectory, batch effect and other experimental designs. 'SCRIP' proposed and compared two frameworks with Gamma-Poisson and Beta-Gamma-Poisson models for simulating Single Cell RNA Sequencing data. Other reference is available in Zappia et al. (2017) <https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1305-0>.

Version:	1.0.0
Depends:	R (≥ 4.0)
Imports:	splatter (≥ 1.16.1), S4Vectors (≥ 0.30.0), SummarizedExperiment (≥ 1.22.0), SingleCellExperiment (≥ 1.14.1), edgeR (≥ 3.34.0), methods, stats, mgcv, knitr, BiocManager, BiocGenerics, Seurat, crayon, fitdistrplus, checkmate (≥ 2.0.0)
Suggests:	rmarkdown, testthat (≥ 3.0.0)
Published:	2021-11-19
Author:	Fei Qin [aut, cre, cph]
Maintainer:	Fei Qin <fqin at email.sc.edu>
License:	GPL-3
URL:	https://github.com/thecailab/SCRIP
NeedsCompilation:	no
Language:	en-GB
CRAN checks:	SCRIP results

Documentation:

Reference manual:	SCRIP.pdf
Vignettes:	SCRIPsimu

Downloads:

Package source:	SCRIP_1.0.0.tar.gz
Windows binaries:	r-devel: SCRIP_1.0.0.zip, r-release: SCRIP_1.0.0.zip, r-oldrel: SCRIP_1.0.0.zip
macOS binaries:	r-release (arm64): SCRIP_1.0.0.tgz, r-oldrel (arm64): SCRIP_1.0.0.tgz, r-release (x86_64): SCRIP_1.0.0.tgz, r-oldrel (x86_64): SCRIP_1.0.0.tgz

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