Reference

Inferring gene regulatory network
inferCSN
inferCSN-package	inferCSN: Inferring Cell-Specific Gene Regulatory Network
inferCSN()	Inferring Cell-Specific Gene Regulatory Network
Network processing
network_sift()	network_sift
Network evaluation
calculate_auc()	Calculate auc
calculate_acc()	Calculate acc
prepare_network_data()	Prepare network data
Network visualization
plot_dynamic_networks()	plot_dynamic_networks
plot_static_networks()	Plot of dynamic networks
plot_contrast_networks()	plot_contrast_networks
plot_network_heatmap()	The heatmap of network
Plotting functions
plot_scatter()	plot_scatter
plot_embedding()	plot_embedding
plot_weight_distribution()	plot_weight_distribution
Calculate gene rank
calculate_gene_rank()	Rank TFs and genes in network
Sparse regression model
single_network()	Construct network for single gene
sparse_regression()	Sparse regression model
fit_sparse_regression()	Fit a sparse regression model
Utils functions
as_matrix()	Convert dgCMatrix into a dense matrix
check_parameters()	Check input parameters
check_sparsity()	Check sparsity of matrix
coef(<SRM_fit>) coef(<SRM_fit_CV>)	Extracts a specific solution in the regularization path
network_format()	Format weight table
table_to_matrix()	Switch weight table to matrix
filter_sort_matrix()	Filter and sort matrix
normalization()	Normalize numeric vector
parallelize_fun()	Apply function over a List or Vector
print(<SRM_fit>) print(<SRM_fit_CV>)	Prints a summary of fit_sparse_regression
predict(<SRM_fit>) predict(<SRM_fit_CV>)	Predict Response
r_square()	\(R^2\) (coefficient of determination)
rse()	Relative Squared Error
sse()	Sum of Squared Errors
Example data
example_matrix	Example matrix data
example_meta_data	Example meta data
example_ground_truth	Example ground truth data