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

Documentation for package ‘scregclust’ version 0.2.0

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