Differential Composition and Variability Analysis for
Single-Cell Data
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Documentation for package ‘sccomp’ version 2.1.16
Help Pages
| clear_stan_model_cache | Clear Stan Model Cache |
| counts_obj | counts_obj |
| handle_missing_values | Handle missing values in a data frame |
| no_significance_df | no_significance_df |
| plot.sccomp_tbl | plot |
| plot_1D_intervals | Plot 1D Intervals for Cell-group Effects |
| plot_2D_intervals | Plot 2D Intervals for Mean-Variance Association |
| plot_scatterplot | Plot Scatterplot of Cell-group Proportion |
| print.sccomp_tbl | Print method for sccomp objects |
| sccomp_boxplot | sccomp_boxplot |
| sccomp_calculate_residuals | Calculate Residuals Between Observed and Predicted Proportions |
| sccomp_estimate | Main Function for SCCOMP Estimate |
| sccomp_predict | sccomp_predict |
| sccomp_proportional_fold_change | Calculate Proportional Fold Change from sccomp Estimated Effects |
| sccomp_remove_outliers | sccomp_remove_outliers main |
| sccomp_remove_unwanted_effects | Remove unwanted effects from a sccomp_tbl object |
| sccomp_remove_unwanted_variation | DEPRECATED: Remove Unwanted Variation from sccomp Estimates |
| sccomp_replicate | sccomp_replicate |
| sccomp_test | sccomp_test |
| sccomp_theme | Create a multipanel theme compatible with ggplot2 4.0.0 S7 system |
| sce_obj | sce_obj |
| seurat_obj | seurat_obj |
| simulate_data | simulate_data |