Man pages for xueweic/APGD
TGPred: Efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning, and optimization.
| CalculateAdj | Calculate adjacency matrix from an annotation file. |
| CalculateLaplacian | Calculate Laplacian matrix and symmetric normalized Laplacian... |
| ConstructNetwork | Construct the network structure from either Hierarchical... |
| GraphicalModel | Simulate a covariance matrix from the specific graph (Adj)... |
| HuberENET_Beta | Estimate beta_hat using Huber Elastic Net function |
| HuberENET_SP | Estimate selection probability using HuberENET function... |
| HuberFunction | Calculate the Huber function for an input value z. |
| Huber_grid | Calculate the gridient of Huber function for an input value... |
| HuberLasso_Beta | Estimate beta_hat using Huber Lasso function |
| HuberLasso_SP | Estimate selection probability using HuberLasso function... |
| HuberNet_Beta | Estimate beta_hat using HuberNet function |
| HuberNet_SP | Estimate selection probability using HuberNet function... |
| Lambda_gird | Simulate a grid set of lambdas for a given alpha in penalized... |
| MSEENET_Beta | Estimate beta_hat using MSE loss function along with Elastic... |
| MSEENET_SP | Estimate selection probability using MSE loss function along... |
| MSELasso_Beta | Estimate beta_hat using MSE loss function along with Lasso... |
| MSELasso_SP | stimate selection probability using MSE loss function along... |
| MSENet_Beta | Estimate beta_hat using MSE loss function along with Net... |
| MSENet_SP | Estimate selection probability using MSE loss function along... |
| Sample_data | Sample data for analysis |
| SimulationData | Simulate y and X from a given network structure. |
