inferCSN-package | inferCSN: Inferring Cell-Specific Gene Regulatory Network |
acc.calculate | ACC calculate |
auc.calculate | AUC value calculate |
check.parameters | Check input parameters |
coef.inferCSN | Extracts a specific solution in the regularization path |
coef.inferCSNCV | Extracts a specific solution in the regularization path |
compute.gene.rank | Compute and rank TFs in network |
contrast.networks | contrast.networks |
dynamic.networks | Plot of dynamic networks |
example_ground_truth | Example ground truth data |
example_matrix | Example matrix data |
inferCSN | Inferring Cell-Specific Gene Regulatory Network |
inferCSN-method | Inferring Cell-Specific Gene Regulatory Network |
inferCSN.fit | Fit a sparse regression model |
net.format | Format weight table |
network.heatmap | The heatmap of network |
predict.inferCSN | Predict Response |
predict.inferCSNCV | Predict Response |
prepare.performance.data | prepare.performance.data |
print.inferCSN | Prints a summary of inferCSN.fit |
print.inferCSNCV | Prints a summary of inferCSN.fit |
sparse.regression | Sparse regression model |
sub.inferCSN | Sparse regression model for single gene |
table.to.matrix | Switch weight table |