An Accurate Simulator for Single-Cell RNA Sequencing Data
Brownian bridge
Bring items forward
Get log-normal factors
Get path order
Logistic function
Simulate batch means
Simulate batch effects
Simulate BCV means
Simulate dropout
Simulate gene means
Simulate Group CellMeans
Simulate group differential expression
Simulate library sizes
Sim PathDE
Simulate cell means
Simulate true counts
SCRIP simulation
SCRIP simulation for clustering analysis
SCRIP simulation for clustering analysis with multiple cell types
SCRIP simulation for differential expression
sim PathCellMeans
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>.