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

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Documentation for package ‘POWSC’ version 1.10.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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