Man pages for inferCSN
Inferring Cell-Specific Gene Regulatory Network

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
grapes-ss-grapes	Value selection operator
inferCSN	inferring Cell-Specific gene regulatory Network
inferCSN-package	_inferCSN_: inferring Cell-Specific gene regulatory...
log_message	Print diagnostic message
matrix_to_table	Switch matrix to network table
meta_cells	Detection of metacells from single-cell gene expression...
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_all_metrics	Create Performance Metrics Plot
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
prepare_binary_predictions	Prepare Binary Predictions
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...
single_network	Construct network for single target gene
sparse_cor	Safe correlation function which returns a sparse matrix...
sparse_cov_cor	Fast correlation and covariance calcualtion for sparse...
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