Inferring cell-specific gene regulatory network

inferCSN-package

inferCSN: inferring Cell-Specific gene regulatory Network

inferCSN()

inferring Cell-Specific gene regulatory Network

Network processing

network_sift()

Sifting network

weight_sift()

Weight sift

Network evaluation

calculate_metrics()

Calculate Network Prediction Performance Metrics

Network visualization

plot_contrast_networks()

Plot contrast networks

plot_dynamic_networks()

Plot dynamic networks

plot_network_heatmap()

Plot network heatmap

plot_static_networks()

Plot dynamic networks

Plotting functions

plot_coefficient()

Plot coefficients

plot_coefficients()

Plot coefficients for multiple targets

plot_embedding()

Plot embedding

plot_histogram()

Plot histogram

plot_scatter()

Plot expression data in a scatter plot

Calculate gene rank

calculate_gene_rank()

Rank TFs and genes in network

Sparse regression model

single_network()

Construct network for single target gene

sparse_regression()

Sparse regression model

fit_sparse_regression()

Fit a sparse regression model

Utils functions

`%s%`

Value selection operator

as_matrix()

Convert sparse matrix into dense matrix

check_sparsity()

Check sparsity of matrix

coef(<srm>) coef(<srm_cv>)

Extracts a specific solution in the regularization path

filter_sort_matrix()

Filter and sort matrix

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

normalization()

Normalize numeric vector

parallelize_fun()

Parallelize a function

pearson_correlation()

Correlation and covariance calculation for sparse matrix

print(<srm>) print(<srm_cv>)

Prints a summary of fit_sparse_regression

predict(<srm>) predict(<srm_cv>)

Predicts response for a given sample

r_square()

\(R^2\) (coefficient of determination)

sparse_cor()

Safe correlation function which returns a sparse matrix without missing values

split_indices()

Split indices.

simulate_sparse_matrix()

Generate a simulated sparse matrix for single-cell data testing

subsampling()

Subsampling function

table_to_matrix()

Switch network table to matrix

Example data

example_matrix

Example matrix data

example_meta_data

Example meta data

example_ground_truth

Example ground truth data