R: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data

# Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data

## Documentation for package ‘scregclust’ version 0.2.4

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

available_results | Extract final configurations into a data frame
cluster_overlap | Create a table of module overlap for two clusterings
fast_cor | Fast computation of correlation
find_module_sizes | Determine module sizes
get_avg_num_regulators | Get the average number of active regulators per module
get_num_final_configs | Return the number of final configurations
get_rand_indices | Compute Rand indices
get_regulator_list | Return list of regulator genes
get_target_gene_modules | Extract target gene modules for given penalization parameters
kmeanspp | Perform the k-means++ algorithm
plot_module_count_helper | Plot average silhouette scores and average predictive R^2
plot_regulator_network | Plotting the regulatory table from scregclust as a directed graph
plot_silhouettes | Plot individual silhouette scores
scregclust | Uncover gene modules and their regulatory programs from single-cell data
scregclust_format | Package data before clustering