Package: inferCSN 1.0.5

Meng Xu

inferCSN:Inferring Cell-Specific Gene Regulatory Network

A method for inferring cell-specific gene regulatory network from single-cell sequencing data.

Authors:Meng Xu [aut, cre]

# InstallinferCSN in R:

install.packages('inferCSN',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

Datasets:

Last updated 9 days agofrom:bfaa1dd311

Help page	Topics
inferCSN: Inferring Cell-Specific Gene Regulatory Network	inferCSN-package
ACC calculate	acc.calculate
Attempts to turn a dgCMatrix into a dense matrix	as_matrix
AUC value calculate	auc.calculate
Calculate and rank TFs in network	calculate.gene.rank
Check input parameters	check.parameters
Extracts a specific solution in the regularization path	coef.SRM_fit coef.SRM_fit_CV
Example ground truth data	example_ground_truth
Example matrix data	example_matrix
Example meta data	example_meta_data
Filter and sort matrix	filter_sort_matrix
Inferring Cell-Specific Gene Regulatory Network	inferCSN inferCSN,data.frame-method inferCSN,matrix-method
Fit a sparse regression model	model.fit
Format weight table	network_format
network_sift	network_sift
The heatmap of network	network.heatmap
normalization	normalization
Apply function over a List or Vector	parallelize_fun
plot_contrast_networks	plot_contrast_networks
plot_dynamic_networks	plot_dynamic_networks
plot_scatter	plot_scatter
Plot of dynamic networks	plot_static_networks
Predict Response	predict.SRM_fit predict.SRM_fit_CV
prepare.performance.data	prepare.performance.data
Prints a summary of model.fit	print.SRM_fit print.SRM_fit_CV
R^2 (coefficient of determination)	r_square
Relative Squared Error	rse
Construct network for single gene	single.network
Sparse regression model	sparse.regression
Sum of Squared Errors	sse
Switch weight table to matrix	table.to.matrix