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


[Up] [Top]

Documentation for package ‘scregclust’ version 0.1.10

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