| 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 |
| exampleGroundTruth | Example ground truth data |
| exampleMatrix | 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 |
| is.scalar | is.scalar |
| net.format | Format weight table |
| network.heatmap | The heatmap of network |
| predict.inferCSN | Predict Response |
| predict.inferCSNCV | Predict Response |
| 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 |