Differential Composition and Variability Analysis for Single-Cell Data


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Documentation for package ‘sccomp’ version 2.1.16

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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