Inferring Cell-Specific Gene Regulatory Network

Documentation for package ‘inferCSN’ version 1.0.3

inferCSN-package	inferCSN: Inferring Cell-Specific Gene Regulatory Network
acc.calculate	ACC calculate
auc.calculate	AUC value calculate
calculate.gene.rank	Calculate and rank TFs in network
check.parameters	Check input parameters
coef.SRM_fit	Extracts a specific solution in the regularization path
coef.SRM_fit_CV	Extracts a specific solution in the regularization path
contrast.networks	contrast.networks
crossweight	Perform crossweighting
crossweight_params	estimates min and max values for crossweighting for now assumes uniform cell density across pseudotime/only considers early time this needs to be refined if it's to be useful...
dynamic.networks	Plot of dynamic networks
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
inferCSN	Inferring Cell-Specific Gene Regulatory Network
inferCSN-method	Inferring Cell-Specific Gene Regulatory Network
model.fit	Fit a sparse regression model
net.format	Format weight table
network.heatmap	The heatmap of network
normalization	normalization
predict.SRM_fit	Predict Response
predict.SRM_fit_CV	Predict Response
prepare.performance.data	prepare.performance.data
print.SRM_fit	Prints a summary of model.fit
print.SRM_fit_CV	Prints a summary of model.fit
single.network	Construct network for single gene
sparse.regression	Sparse regression model
table.to.matrix	Switch weight table to matrix
weight_filter	weight_filter