%ss%                    Value selection operator
as_matrix               Convert sparse matrix into dense matrix
calculate_accuracy      Calculate Accuracy
calculate_auc           Calculate AUC Metrics
calculate_auprc         Calculate AUPRC Metric
calculate_auroc         Calculate AUROC Metric
calculate_f1            Calculate F1 Score
calculate_gene_rank     Rank TFs and genes in network
calculate_ji            Calculate Jaccard Index
calculate_metrics       Calculate Network Prediction Performance
                        Metrics
calculate_precision     Calculate Precision Metric
calculate_recall        Calculate Recall Metric
calculate_si            Calculate Set Intersection
check_sparsity          Check sparsity of matrix
coef.srm                Extracts a specific solution in the
                        regularization path
example_ground_truth    Example ground truth data
example_matrix          Example matrix data
example_meta_data       Example meta data
filter_sort_matrix      Filter and sort matrix
fit_srm                 Sparse regression model
inferCSN                *infer*ring *C*ell-*S*pecific gene regulatory
                        *N*etwork
inferCSN-package        _*inferCSN*_: *infer*ring *C*ell-*S*pecific
                        gene regulatory *N*etwork
log_message             Print diagnostic message
matrix_to_table         Switch matrix to network table
meta_cells              Detection of metacells from single-cell gene
                        expression matrix
network_format          Format network table
network_sift            Sifting network
normalization           Normalize numeric vector
parallelize_fun         Parallelize a function
pearson_correlation     Correlation and covariance calculation for
                        sparse matrix
plot_coefficient        Plot coefficients
plot_coefficients       Plot coefficients for multiple targets
plot_contrast_networks
                        Plot contrast networks
plot_dynamic_networks   Plot dynamic networks
plot_edges_comparison   Network Edge Comparison Visualization
plot_embedding          Plot embedding
plot_histogram          Plot histogram
plot_network_heatmap    Plot network heatmap
plot_scatter            Plot expression data in a scatter plot
plot_static_networks    Plot dynamic networks
predict.srm             Predicts response for a given sample
print.srm               Prints a summary of 'sparse_regression'
r_square                R^2 (coefficient of determination)
simulate_sparse_matrix
                        Generate a simulated sparse matrix for
                        single-cell data testing
single_network          Construct network for single target gene
sparse_cor              Safe correlation function which returns a
                        sparse matrix without missing values
sparse_cov_cor          Fast correlation and covariance calcualtion for
                        sparse matrices
sparse_regression       Fit a sparse regression model
split_indices           Split indices.
subsampling             Subsampling function
table_to_matrix         Switch network table to matrix
weight_sift             Weight sift
