| 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 |