Robust Outlier-aware Estimation of Composition and Heterogeneity
for Single-cell Data
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Documentation for package ‘sccomp’ version 1.10.0
Help Pages
| counts_obj | counts_obj |
| get_output_samples | Get Output Samples from a Stan Fit Object |
| multipanel_theme | multipanel_theme |
| 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_boxplot | Plot Boxplot of Cell-group Proportion |
| plot_scatterplot | Plot Scatterplot of Cell-group Proportion |
| 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 for sccomp Data |
| sccomp_remove_outliers | sccomp_remove_outliers main |
| sccomp_remove_unwanted_variation | sccomp_remove_unwanted_variation |
| sccomp_replicate | sccomp_replicate |
| sccomp_test | sccomp_test |
| sce_obj | sce_obj |
| seurat_obj | seurat_obj |
| simulate_data | simulate_data |