R: Simulation, power evaluation, and sample size recommendation for single cell RNA-seq

# Simulation, power evaluation, and sample size recommendation for single cell RNA-seq

## Documentation for package ‘POWSC’ version 1.20.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

Est2Phase | Estimate characterized parameters for a given scRNA-seq data (SingleCellExperiment object or a count matrix).
es_mef_sce | sample data for POWSC
plot_POWSC | plot the result use visualization.
Power_Cont | Run DE analysis by using MAST. Here we output two result tables corresponding to two forms of DE genes. These parameters include four gene-wise parameters and two cell-wise parameters.
Power_Disc | Run DE analysis by using MAST. Here we output two result tables corresponding to two forms of DE genes. These parameters include four gene-wise parameters and two cell-wise parameters.
runDE | A wrapper function for calling DE genes. This contains two methods: MAST and SC2P
runMAST | Run DE analysis by using MAST. Here we output two result tables corresponding to two forms of DE genes. These parameters include four gene-wise parameters and two cell-wise parameters.
runPOWSC | Estimate characterized parameters for a given scRNA-seq data (SingleCellExperiment object or a count matrix).
runSC2P | Run DE analysis by using SC2P. Here we output two result tables corresponding to two forms of DE genes.
sce | sample data for GSE67835
Simulate2SCE | Simulate the data for two-group comparison; e.g., treatment v.s. control It simulates the DE changes in two forms corresponding two types of DE genes
SimulateMultiSCEs | Simulate the data for multiple-group comparisons; e.g., different cell types in blood It simulates the DE changes in two forms corresponding two types of DE genes
summary_POWSC | summary of the result