Inferring Cell-Specific Gene Regulatory Network

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Documentation for package ‘inferCSN’ version 1.2.0

• DESCRIPTION file.

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inferCSN-package	Inferring Cell-Specific Gene Regulatory Network
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
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	inferring cell-type specific gene regulatory network
inferCSN-method	inferring cell-type specific gene regulatory network
infercsn_logo	The logo of inferCSN
meta_cells	Detection of metacells from single-cell gene expression matrix
network_format	Format network table
network_sift	Sifting network
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
print.infercsn_logo	Print logo
single_network	Construct network for single target gene
subsampling	Subsampling function
weight_sift	Weight sift